R version 4.4.0 RC (2024-04-16 r86451 ucrt) -- "Puppy Cup"
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> library(testthat)
> library(RobinCar)
Warning message:
S3 method 'format.results' was declared in NAMESPACE but not found
>
> test_check("RobinCar")
Loading required package: nnls
Loading required package: gam
Loading required package: splines
Loading required package: foreach
Loaded gam 1.22-3
Super Learner
Version: 2.0-29
Package created on 2024-02-06
Done!
.Done!
.Done!
.Done!
Attaching package: 'dplyr'
The following object is masked from 'package:testthat':
matches
The following objects are masked from 'package:stats':
filter, lag
The following objects are masked from 'package:base':
intersect, setdiff, setequal, union
Thank you for using fastDummies!
To acknowledge our work, please cite the package:
Kaplan, J. & Schlegel, B. (2023). fastDummies: Fast Creation of Dummy (Binary) Columns and Rows from Categorical Variables. Version 1.7.1. URL: https://github.com/jacobkap/fastDummies, https://jacobkap.github.io/fastDummies/.
Joining with `by = join_by(t)`
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-- Attaching core tidyverse packages ------------------------ tidyverse 2.0.0 --
v forcats 1.0.0 v readr 2.1.5
v ggplot2 3.5.0 v stringr 1.5.1
v lubridate 1.9.3 v tibble 3.2.1
v purrr 1.0.2 v tidyr 1.3.1
-- Conflicts ------------------------------------------ tidyverse_conflicts() --
x purrr::accumulate() masks foreach::accumulate()
x readr::edition_get() masks testthat::edition_get()
x dplyr::filter() masks stats::filter()
x purrr::is_null() masks testthat::is_null()
x dplyr::lag() masks stats::lag()
x readr::local_edition() masks testthat::local_edition()
x tidyr::matches() masks dplyr::matches(), testthat::matches()
x purrr::when() masks foreach::when()
i Use the conflicted package () to force all conflicts to become errors
Attaching package: 'MASS'
The following object is masked from 'package:dplyr':
select
Treatment group mean estimates using a aipw-type estimator
from a GLM working model of family binomial and link logit
using adjustment variables: BWTGR1.
Used HC0-type of heteroskedasticity-consistent variance estimates
Estimates:
# A tibble: 3 x 4
treat estimate se `pval (2-sided)`
1 1 0.460 0.0198 5.18e-119
2 2 0.508 0.0193 1.77e-152
3 3 0.487 0.0190 1.27e-145
Variance-Covariance Matrix:
[,1] [,2] [,3]
1 3.928283e-04 6.449410e-09 5.903874e-08
2 6.449410e-09 3.731704e-04 -1.564650e-08
3 5.903874e-08 -1.564650e-08 3.594016e-04
Treatment group mean estimates using a aipw-type estimator
from a GLM working model of family binomial and link logit
using adjustment variables: BWTGR1.
Used HC0-type of heteroskedasticity-consistent variance estimates
Estimates:
# A tibble: 3 x 4
treat estimate se `pval (2-sided)`
1 1 0.460 0.0198 5.18e-119
2 2 0.508 0.0193 1.77e-152
3 3 0.487 0.0190 1.27e-145
Variance-Covariance Matrix:
[,1] [,2] [,3]
1 3.928283e-04 6.449410e-09 5.903874e-08
2 6.449410e-09 3.731704e-04 -1.564650e-08
3 5.903874e-08 -1.564650e-08 3.594016e-04
Treatment group mean estimates using a aipw-type estimator
from a GLM working model of family binomial and link logit
using adjustment variables: BWTGR1.
Used HC0-type of heteroskedasticity-consistent variance estimates
Estimates:
# A tibble: 3 x 4
treat estimate se `pval (2-sided)`
1 1 0.460 0.0198 5.18e-119
2 2 0.508 0.0193 1.77e-152
3 3 0.487 0.0190 1.27e-145
Variance-Covariance Matrix:
[,1] [,2] [,3]
1 3.928283e-04 6.449410e-09 5.903874e-08
2 6.449410e-09 3.731704e-04 -1.564650e-08
3 5.903874e-08 -1.564650e-08 3.594016e-04
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[ FAIL 0 | WARN 177 | SKIP 3 | PASS 300 ]
══ Skipped tests (3) ═══════════════════════════════════════════════════════════
• This works, but not in the testthat environment. (1): 'test-SL.R:51:3'
• empty test (2): 'test-SL.R:18:1', 'test-SL.R:32:1'
[ FAIL 0 | WARN 177 | SKIP 3 | PASS 300 ]
>
> proc.time()
user system elapsed
44.96 2.85 44.50