Last updated on 2020-08-07 01:49:34 CEST.
Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
---|---|---|---|---|---|---|
r-devel-linux-x86_64-debian-clang | 1.5.5 | 13.65 | 127.17 | 140.82 | OK | |
r-devel-linux-x86_64-debian-gcc | 1.5.5 | 10.75 | 89.26 | 100.01 | ERROR | |
r-devel-linux-x86_64-fedora-clang | 1.5.5 | 175.65 | ERROR | |||
r-devel-linux-x86_64-fedora-gcc | 1.5.5 | 167.63 | ERROR | |||
r-devel-windows-ix86+x86_64 | 1.5.5 | 61.00 | 257.00 | 318.00 | OK | |
r-patched-linux-x86_64 | 1.5.5 | 12.28 | 126.65 | 138.93 | OK | |
r-patched-solaris-x86 | 1.5.5 | 283.40 | ERROR | |||
r-release-linux-x86_64 | 1.5.5 | 12.00 | 120.66 | 132.66 | ERROR | |
r-release-macos-x86_64 | 1.5.5 | OK | ||||
r-release-windows-ix86+x86_64 | 1.5.5 | 63.00 | 188.00 | 251.00 | OK | |
r-oldrel-macos-x86_64 | 1.5.5 | OK | ||||
r-oldrel-windows-ix86+x86_64 | 1.5.5 | 44.00 | 206.00 | 250.00 | OK |
Version: 1.5.5
Check: package dependencies
Result: NOTE
Package suggested but not available for checking: ‘glmbb’
Flavors: r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-patched-solaris-x86, r-release-linux-x86_64
Version: 1.5.5
Check: tests
Result: ERROR
Running ‘testthat.R’ [10s/16s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(BAS)
>
> test_check("BAS")
── 1. Error: poisson regression (@test-bas-glm.R#118) ─────────────────────────
there is no package called 'glmbb'
Backtrace:
1. utils::data(crabs, package = "glmbb")
2. base::find.package(package, lib.loc, verbose = verbose)
Marginal Posterior Summaries of Coefficients:
Using BMA
Based on the top 16 models
post mean post SD post p(B != 0)
Intercept 95.42308 0.67885 1.00000
X1 1.40116 0.35351 0.97454
X2 0.42326 0.38407 0.76017
X3 -0.03997 0.33398 0.30660
X4 -0.22077 0.36931 0.44354
Call:
bas.lm(formula = Y ~ ., data = Hald, prior = "BIC", modelprior = uniform())
Marginal Posterior Inclusion Probabilities:
Intercept X1 X2 X3 X4
1.0000 0.9856 0.7921 0.4705 0.5220
══ testthat results ═══════════════════════════════════════════════════════════
[ OK: 160 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 1 ]
1. Error: poisson regression (@test-bas-glm.R#118)
Error: testthat unit tests failed
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 1.5.5
Check: tests
Result: ERROR
Running ‘testthat.R’ [19s/19s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(BAS)
>
> test_check("BAS")
── 1. Error: poisson regression (@test-bas-glm.R#118) ─────────────────────────
there is no package called 'glmbb'
Backtrace:
1. utils::data(crabs, package = "glmbb")
2. base::find.package(package, lib.loc, verbose = verbose)
Marginal Posterior Summaries of Coefficients:
Using BMA
Based on the top 16 models
post mean post SD post p(B != 0)
Intercept 95.42308 0.67885 1.00000
X1 1.40116 0.35351 0.97454
X2 0.42326 0.38407 0.76017
X3 -0.03997 0.33398 0.30660
X4 -0.22077 0.36931 0.44354
Call:
bas.lm(formula = Y ~ ., data = Hald, prior = "BIC", modelprior = uniform())
Marginal Posterior Inclusion Probabilities:
Intercept X1 X2 X3 X4
1.0000 0.9856 0.7921 0.4705 0.5220
══ testthat results ═══════════════════════════════════════════════════════════
[ OK: 160 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 1 ]
1. Error: poisson regression (@test-bas-glm.R#118)
Error: testthat unit tests failed
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 1.5.5
Check: tests
Result: ERROR
Running ‘testthat.R’ [20s/21s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(BAS)
>
> test_check("BAS")
── 1. Error: poisson regression (@test-bas-glm.R#118) ─────────────────────────
there is no package called 'glmbb'
Backtrace:
1. utils::data(crabs, package = "glmbb")
2. base::find.package(package, lib.loc, verbose = verbose)
Marginal Posterior Summaries of Coefficients:
Using BMA
Based on the top 16 models
post mean post SD post p(B != 0)
Intercept 95.42308 0.67885 1.00000
X1 1.40116 0.35351 0.97454
X2 0.42326 0.38407 0.76017
X3 -0.03997 0.33398 0.30660
X4 -0.22077 0.36931 0.44354
Call:
bas.lm(formula = Y ~ ., data = Hald, prior = "BIC", modelprior = uniform())
Marginal Posterior Inclusion Probabilities:
Intercept X1 X2 X3 X4
1.0000 0.9856 0.7921 0.4705 0.5220
══ testthat results ═══════════════════════════════════════════════════════════
[ OK: 160 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 1 ]
1. Error: poisson regression (@test-bas-glm.R#118)
Error: testthat unit tests failed
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 1.5.5
Check: tests
Result: ERROR
Running ‘testthat.R’ [27s/27s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(BAS)
>
> test_check("BAS")
── 1. Error: poisson regression (@test-bas-glm.R#118) ─────────────────────────
there is no package called 'glmbb'
Backtrace:
1. utils::data(crabs, package = "glmbb")
2. base::find.package(package, lib.loc, verbose = verbose)
Marginal Posterior Summaries of Coefficients:
Using BMA
Based on the top 16 models
post mean post SD post p(B != 0)
Intercept 95.42308 0.67885 1.00000
X1 1.40116 0.35351 0.97454
X2 0.42326 0.38407 0.76017
X3 -0.03997 0.33398 0.30660
X4 -0.22077 0.36931 0.44354
Call:
bas.lm(formula = Y ~ ., data = Hald, prior = "BIC", modelprior = uniform())
Marginal Posterior Inclusion Probabilities:
Intercept X1 X2 X3 X4
1.0000 0.9856 0.7921 0.4705 0.5220
══ testthat results ═══════════════════════════════════════════════════════════
[ OK: 139 | SKIPPED: 5 | WARNINGS: 0 | FAILED: 1 ]
1. Error: poisson regression (@test-bas-glm.R#118)
Error: testthat unit tests failed
Execution halted
Flavor: r-patched-solaris-x86
Version: 1.5.5
Check: tests
Result: ERROR
Running ‘testthat.R’ [17s/19s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(BAS)
>
> test_check("BAS")
── 1. Error: poisson regression (@test-bas-glm.R#118) ─────────────────────────
there is no package called 'glmbb'
Backtrace:
1. utils::data(crabs, package = "glmbb")
2. base::find.package(package, lib.loc, verbose = verbose)
Marginal Posterior Summaries of Coefficients:
Using BMA
Based on the top 16 models
post mean post SD post p(B != 0)
Intercept 95.42308 0.67885 1.00000
X1 1.40116 0.35351 0.97454
X2 0.42326 0.38407 0.76017
X3 -0.03997 0.33398 0.30660
X4 -0.22077 0.36931 0.44354
Call:
bas.lm(formula = Y ~ ., data = Hald, prior = "BIC", modelprior = uniform())
Marginal Posterior Inclusion Probabilities:
Intercept X1 X2 X3 X4
1.0000 0.9856 0.7921 0.4705 0.5220
══ testthat results ═══════════════════════════════════════════════════════════
[ OK: 160 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 1 ]
1. Error: poisson regression (@test-bas-glm.R#118)
Error: testthat unit tests failed
Execution halted
Flavor: r-release-linux-x86_64