Last updated on 2020-08-07 01:50:16 CEST.
| Package | ERROR | OK |
|---|---|---|
| BAS | 5 | 7 |
| statsr | 12 |
Current CRAN status: ERROR: 5, OK: 7
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
Current CRAN status: OK: 12