Last updated on 2020-08-07 01:49:42 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.6.6 | 646.65 | 216.11 | 862.76 | OK | |
| r-devel-linux-x86_64-debian-gcc | 0.6.6 | 493.42 | 162.98 | 656.40 | OK | |
| r-devel-linux-x86_64-fedora-clang | 0.6.6 | 1169.83 | NOTE | |||
| r-devel-linux-x86_64-fedora-gcc | 0.6.6 | 1137.75 | OK | |||
| r-devel-windows-ix86+x86_64 | 0.6.6 | 1526.00 | 351.00 | 1877.00 | NOTE | |
| r-patched-linux-x86_64 | 0.6.6 | 509.28 | 217.29 | 726.57 | OK | |
| r-patched-solaris-x86 | 0.6.6 | 981.30 | ERROR | |||
| r-release-linux-x86_64 | 0.6.6 | 508.27 | 217.54 | 725.81 | OK | |
| r-release-macos-x86_64 | 0.6.6 | NOTE | ||||
| r-release-windows-ix86+x86_64 | 0.6.6 | 1481.00 | 435.00 | 1916.00 | NOTE | |
| r-oldrel-macos-x86_64 | 0.6.6 | NOTE | ||||
| r-oldrel-windows-ix86+x86_64 | 0.6.6 | 1027.00 | 337.00 | 1364.00 | NOTE |
Version: 0.6.6
Check: installed package size
Result: NOTE
installed size is 39.3Mb
sub-directories of 1Mb or more:
data 4.2Mb
doc 1.7Mb
libs 33.0Mb
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-windows-ix86+x86_64, r-patched-solaris-x86, r-release-macos-x86_64, r-release-windows-ix86+x86_64, r-oldrel-macos-x86_64, r-oldrel-windows-ix86+x86_64
Version: 0.6.6
Check: tests
Result: ERROR
Running ‘testthat.R’ [91s/98s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> # Had the same issue as in this thread: https://github.com/hadley/testthat/issues/86
> Sys.setenv("R_TESTS" = "")
>
> options(deparse.max.lines = 5, testthat.summary.max_reports = 1000L)
> testthat::test_check("dynamichazard", reporter = "summary")
Loading required package: dynamichazard
Loading required package: survival
Tracing function "expect_known_value" in package "testthat"
Tracing function "expect_known_output" in package "testthat"
Loading required package: DBI
Running tests for GMA: ..................
Testing LAPACK wrapper functions: ..............................................
Running test_PF: ........................................................................................................................................................................................................SS...SSSSSSSS..S12SS..SSSSSSSSSSSS
Testing SMA: ................................
Testing UKF: ..WWWWWW..WWWWWW...WWW.WWWWWW..WWW..WWW..WWW..WWW..WWW..WWW..WWW..WWW.
Testing bigglm_wrapper: ..........
Testing boot: ...S..................................................................................................................................................................................................................................................................................................................................................................................................................
testing cloglog link function: ....S
Testing cpp sampling functions: ..................................................................................................................................................................................................................................................................................................................................................................................................................S.............................................................S....
Running test_cpp_utils.R:: .S............
Testing ddhazard w/ generic things and w/ the the EKF : .....................S.........WWW.......
Testing design_mat_and_risk_obj: ............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
Testing fixed_effects_in_E_step: .........
Testing test_fixed_effects_in_M_step: ..........S..
Testing 'get_start_values': ....................
Running tests for hatvalues: ....
Testing examples in man files: .......S.S....SSSS........S
Testing loglike: ....................WWWW.WWWW...
Testing options: .
Testing parallelglm vs. glm: ................................................S
Testing plot functions: ..................WWW....................
Testing predict: .......................................................................WWW........SS
Testing print function: ...SS.....
Testing residuals functions: ..................................................................................................................................................................................................SS
Testing shiny app: ..
Testing static_glm: WWW...WWWWWW.WWW.WWW.WWW.WWW.....WWWWWW.WWW....WWWWWW.WWW...........
Testing summary function: .................
Testing test_utils: ............S......................................
Testing weights in fit: ................
══ Skipped ═════════════════════════════════════════════════════════════════════
1. PF_smooth gives same results (@test_PF.R#71) - Reason: On CRAN
2. Import and export PF cloud from Rcpp gives the same (@test_PF.R#249) - Reason: On CRAN
3. PF_EM gives previous results on head neck data set (@test_PF.R#342) - Reason: On CRAN
4. PF_EM gives previous results on head neck data set with fixed effects and the logit model (@test_PF.R#409) - Reason: On CRAN
5. compute_PF_summary_stats gives previous results (@test_PF.R#434) - Reason: On CRAN
6. 'get_cloud_means' and 'get_cloud_quantiles' gives previous results (@test_PF.R#508) - Reason: On CRAN
7. 'get_ancestors' yields the correct result (@test_PF.R#558) - Reason: On CRAN
8. ´est_params_dens´ gives the same as a R version (@test_PF.R#580) - Reason: On CRAN
9. fixed effect estimation gives the same as an R implementation (@test_PF.R#628) - Reason: On CRAN
10. A few iterations with `type = "VAR"' yields the same as before (@test_PF.R#709) - Reason: On CRAN
11. PF_EM gives the same with restricted and unrestricted model when we estimate all the parameters (@test_PF.R#781) - Reason: On CRAN
12. Using `n_smooth_final` works as expected and yields previous results (@test_PF.R#891) - Reason: On CRAN
13. sampling with a t-distribution gives previous results (@test_PF.R#959) - Reason: On CRAN
14. 'PF_forward_filter' gives the same as 'PF_EM' when it should (@test_PF.R#997) - Reason: On CRAN
15. 'state_fw' gives correct results (@test_PF.R#1126) - Reason: !dir.exists("pf-internals") is TRUE
16. 'state_bw' gives correct results (@test_PF.R#1162) - Reason: !dir.exists("pf-internals") is TRUE
17. 'artificial_prior' gives correct results (@test_PF.R#1197) - Reason: !dir.exists("pf-internals") is TRUE
18. 'observational_cdist' gives correct results (@test_PF.R#1231) - Reason: !dir.exists("pf-internals") is TRUE
19. combining forward and backwards works (@test_PF.R#1276) - Reason: !dir.exists("pf-internals") is TRUE
20. combining prior and backwards works (@test_PF.R#1323) - Reason: !dir.exists("pf-internals") is TRUE
21. mode approximations give expected result (@test_PF.R#1361) - Reason: !dir.exists("pf-internals") is TRUE
22. 'PF_get_score_n_hess' gives the same as an R implementation (@test_PF.R#1481) - Reason: On CRAN
23. warns with randow walk model when covariates are in both fixed and random (@test_PF.R#1619) - Reason: On CRAN
24. works when there are time periods outside where we have data and with a single fixed and random effect (@test_PF.R#1640) - Reason: On CRAN
25. 'fix_seed = FALSE' yields different results at each call (@test_PF.R#1665) - Reason: On CRAN
26. boot yields previously computed values with pbc (@test_boot_est.R#19) - Reason: On CRAN
27. cloglog function gives previous result with simulated data using PF_EM and PF_forward_filter (@test_cloglog.R#56) - Reason: On CRAN
28. mvrnorm gives expected sample mean and variance (@test_cpp_sample_funcs.R#50) - Reason: On CRAN
29. 'mvtrnorm' yields close to uniform sample (@test_cpp_sample_funcs.R#111) - Reason: On CRAN
30. trunc_lp_in_exponential_dist does not truncate when not needed (@test_cpp_utils.R#12) - Reason: On CRAN
31. Different non-integer time_scales gives the same result with ddhazard (@test_ddhazard_n_EKF.R#165) - Reason: On CRAN
32. posterior_approx gives previous found values with fixed effects in M-step (@test_fixed_effects_in_M_step.R#187) - Reason: On CRAN
33. residuals.ddhazard help page examples gives the same results (@test_help_page_examples.R#43) - Reason: On CRAN
34. ddhazard_boot help page examples gives the same results (@test_help_page_examples.R#67) - Reason: On CRAN
35. PF_EM help page example runs and gives previous computed results (@test_help_page_examples.R#129) - Reason: On CRAN
36. Second example on PF help page gives the same result (@test_help_page_examples.R#170) - Reason: On CRAN
37. example in 'PF_EM' with gives previous results w/ a few iterations (@test_help_page_examples.R#226) - Reason: On CRAN
38. `PF_forward_filter` the results stated in the comments and does not alter the .Random.seed as stated on the help page (@test_help_page_examples.R#357) - Reason: On CRAN
39. 'PF_get_score_n_hess' gives previous results (@test_help_page_examples.R#515) - Reason: On CRAN
40. glm and parallelglm gives the same (@test_parallelglm.R#80) - Reason: On CRAN
41. Terms from predict with exponential outcome are correct (@test_predict.R#413) - Reason: On CRAN
42. Different non-integer time_scales gives the same result with predict results (@test_predict.R#474) - Reason: On CRAN
43. print.ddhazard_boot gives the expected output (@test_print.R#39) - Reason: On CRAN
44. Print function for PF objects gives previous results (@test_print.R#89) - Reason: On CRAN
45. Gets previous results with Rossi (@test_residuals.R#209) - Reason: On CRAN
46. Get prevoius residuals with whas500 (@test_residuals.R#236) - Reason: On CRAN
47. Testing util functions to sim series for tests (@test_test_utils.R#28) - Reason: On CRAN
══ Warnings ════════════════════════════════════════════════════════════════════
1. UKF does not fail and both methods give the same (@test_UKF.R#39) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
2. UKF does not fail and both methods give the same (@test_UKF.R#39) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
3. UKF does not fail and both methods give the same (@test_UKF.R#39) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
4. UKF does not fail and both methods give the same (@test_UKF.R#52) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
5. UKF does not fail and both methods give the same (@test_UKF.R#52) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
6. UKF does not fail and both methods give the same (@test_UKF.R#52) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
7. Changing time scale in UKF does no change results when other parems are changed accoridngly (@test_UKF.R#83) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
8. Changing time scale in UKF does no change results when other parems are changed accoridngly (@test_UKF.R#83) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
9. Changing time scale in UKF does no change results when other parems are changed accoridngly (@test_UKF.R#83) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
10. Changing time scale in UKF does no change results when other parems are changed accoridngly (@test_UKF.R#94) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
11. Changing time scale in UKF does no change results when other parems are changed accoridngly (@test_UKF.R#94) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
12. Changing time scale in UKF does no change results when other parems are changed accoridngly (@test_UKF.R#94) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
13. Testing UKF against prev computed values (@test_UKF.R#117) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
14. Testing UKF against prev computed values (@test_UKF.R#117) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
15. Testing UKF against prev computed values (@test_UKF.R#117) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
16. Altering UKF alpha, beta and kappa change the results (@test_UKF.R#140) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
17. Altering UKF alpha, beta and kappa change the results (@test_UKF.R#140) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
18. Altering UKF alpha, beta and kappa change the results (@test_UKF.R#140) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
19. Altering UKF alpha, beta and kappa change the results (@test_UKF.R#144) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
20. Altering UKF alpha, beta and kappa change the results (@test_UKF.R#144) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
21. Altering UKF alpha, beta and kappa change the results (@test_UKF.R#144) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
22. Altering UKF alpha, beta and kappa change the results (@test_UKF.R#152) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
23. Altering UKF alpha, beta and kappa change the results (@test_UKF.R#152) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
24. Altering UKF alpha, beta and kappa change the results (@test_UKF.R#152) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
25. Altering UKF alpha, beta and kappa change the results (@test_UKF.R#161) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
26. Altering UKF alpha, beta and kappa change the results (@test_UKF.R#161) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
27. Altering UKF alpha, beta and kappa change the results (@test_UKF.R#161) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
28. UKF works on simulated data works with exponential model and gives previous results (@test_UKF.R#170) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
29. UKF works on simulated data works with exponential model and gives previous results (@test_UKF.R#170) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
30. UKF works on simulated data works with exponential model and gives previous results (@test_UKF.R#170) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
31. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
32. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
33. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
34. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
35. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
36. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
37. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
38. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
39. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
40. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
41. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
42. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
43. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
44. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
45. UKF second order model works (that is, gives no errors...) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
46. Result of exponential model gives previous results w/ simulated data (@test_ddhazard_n_EKF.R#246) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
47. Result of exponential model gives previous results w/ simulated data (@test_ddhazard_n_EKF.R#246) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
48. Result of exponential model gives previous results w/ simulated data (@test_ddhazard_n_EKF.R#246) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
49. logLik for simulated data versus old results (@test_loglike.R#170) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
50. logLik for simulated data versus old results (@test_loglike.R#170) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
51. logLik for simulated data versus old results (@test_loglike.R#170) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
52. logLik for simulated data versus old results (@test_loglike.R#181) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
53. logLik for simulated data versus old results (@test_loglike.R#189) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
54. logLik for simulated data versus old results (@test_loglike.R#189) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
55. logLik for simulated data versus old results (@test_loglike.R#189) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
56. logLik for simulated data versus old results (@test_loglike.R#202) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
57. Alters mfcol and sets it back (@test_plot.R#74) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
58. Alters mfcol and sets it back (@test_plot.R#74) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
59. Alters mfcol and sets it back (@test_plot.R#74) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
60. get_survival_case_weights_and_data and predict yields consistent result with ids (@test_predict.R#300) - 'varlist' has changed (from nvar=9) to new 12 after EncodeVars() -- should no longer happen!
61. get_survival_case_weights_and_data and predict yields consistent result with ids (@test_predict.R#300) - 'varlist' has changed (from nvar=9) to new 12 after EncodeVars() -- should no longer happen!
62. get_survival_case_weights_and_data and predict yields consistent result with ids (@test_predict.R#300) - 'varlist' has changed (from nvar=9) to new 12 after EncodeVars() -- should no longer happen!
63. Static glm yields expected number of events, correct rows and same result when supplying risk_obj (@test_static_glm.R#10) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
64. Static glm yields expected number of events, correct rows and same result when supplying risk_obj (@test_static_glm.R#10) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
65. Static glm yields expected number of events, correct rows and same result when supplying risk_obj (@test_static_glm.R#10) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
66. Static glm yields expected number of events, correct rows and same result when supplying risk_obj (@test_static_glm.R#22) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
67. Static glm yields expected number of events, correct rows and same result when supplying risk_obj (@test_static_glm.R#22) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
68. Static glm yields expected number of events, correct rows and same result when supplying risk_obj (@test_static_glm.R#22) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
69. Static glm yields expected number of events, correct rows and same result when supplying risk_obj (@test_static_glm.R#25) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
70. Static glm yields expected number of events, correct rows and same result when supplying risk_obj (@test_static_glm.R#25) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
71. Static glm yields expected number of events, correct rows and same result when supplying risk_obj (@test_static_glm.R#25) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
72. static glm gives results with exponential that match previous computations (@test_static_glm.R#38) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
73. static glm gives results with exponential that match previous computations (@test_static_glm.R#38) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
74. static glm gives results with exponential that match previous computations (@test_static_glm.R#38) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
75. static glm gives results with exponential that match previous computations (@test_static_glm.R#49) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
76. static glm gives results with exponential that match previous computations (@test_static_glm.R#49) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
77. static glm gives results with exponential that match previous computations (@test_static_glm.R#49) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
78. design_matrix yields equal result with different values of use_weights (@test_static_glm.R#61) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
79. design_matrix yields equal result with different values of use_weights (@test_static_glm.R#61) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
80. design_matrix yields equal result with different values of use_weights (@test_static_glm.R#61) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
81. design_matrix yields equal result with different values of use_weights (@test_static_glm.R#70) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
82. design_matrix yields equal result with different values of use_weights (@test_static_glm.R#70) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
83. design_matrix yields equal result with different values of use_weights (@test_static_glm.R#70) - 'varlist' has changed (from nvar=5) to new 8 after EncodeVars() -- should no longer happen!
84. Gets same with different methods (@test_static_glm.R#129) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
85. Gets same with different methods (@test_static_glm.R#129) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
86. Gets same with different methods (@test_static_glm.R#129) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
87. Gets same with different methods (@test_static_glm.R#130) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
88. Gets same with different methods (@test_static_glm.R#130) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
89. Gets same with different methods (@test_static_glm.R#130) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
90. Gets same with different methods (@test_static_glm.R#134) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
91. Gets same with different methods (@test_static_glm.R#134) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
92. Gets same with different methods (@test_static_glm.R#134) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
93. Gets same with different methods (@test_static_glm.R#129) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
94. Gets same with different methods (@test_static_glm.R#129) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
95. Gets same with different methods (@test_static_glm.R#129) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
96. Gets same with different methods (@test_static_glm.R#130) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
97. Gets same with different methods (@test_static_glm.R#130) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
98. Gets same with different methods (@test_static_glm.R#130) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
99. Gets same with different methods (@test_static_glm.R#134) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
100. Gets same with different methods (@test_static_glm.R#134) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
101. Gets same with different methods (@test_static_glm.R#134) - 'varlist' has changed (from nvar=12) to new 15 after EncodeVars() -- should no longer happen!
══ Failed ══════════════════════════════════════════════════════════════════════
── 1. Failure: type = 'VAR' works with non-zero mean with a single term and give
pf_Fear[!names(pf_Fear) %in% c("clouds", "terms")] has changed from known value recorded in './previous_results/PF_VARS_non_zero_mean_inter.RDS'.
Component "fixed_effects": Mean relative difference: 1.88498e-05
Component "Q": Mean relative difference: 2.972759e-05
Component "F": Mean relative difference: 0.0001637851
Component "EM_ests": Component "fixed_effects": Mean relative difference: 1.243703e-05
Component "EM_ests": Component "F": Mean relative difference: 0.0001868717
Component "EM_ests": Component "Q": Mean relative difference: 3.117572e-05
Component "log_likes": Mean relative difference: 1.924827e-07
Component "effective_sample_size": Component "forward_clouds": Mean relative difference: 9.852257e-06
Component "effective_sample_size": Component "backward_clouds": Mean relative difference: 4.496266e-05
...
── 2. Failure: type = 'VAR' works with non-zero mean with a single term and give
pf_Fear[!names(pf_Fear) %in% c("clouds", "terms")] has changed from known value recorded in './previous_results/PF_VARS_non_zero_mean_slope.RDS'.
Component "F": Mean relative difference: 0.002044194
Component "EM_ests": Component "F": Mean relative difference: 0.001652522
Component "effective_sample_size": Component "smoothed_clouds": Mean relative difference: 0.001571442
══ DONE ════════════════════════════════════════════════════════════════════════
Error: Test failures
Execution halted
Flavor: r-patched-solaris-x86