Last updated on 2025-08-06 01:50:51 CEST.
| Package | ERROR | NOTE | OK |
|---|---|---|---|
| causalBatch | 1 | 12 | |
| lolR | 13 | ||
| mgc | 5 | 8 |
Current CRAN status: ERROR: 1, OK: 12
Version: 1.3.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [43s/58s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview
> # * https://testthat.r-lib.org/articles/special-files.html
>
> library(testthat)
> library(causalBatch)
>
> test_check("causalBatch")
Adjusting for1covariate(s) or covariate level(s)
Adjusting for1covariate(s) or covariate level(s)
Adjusting for1covariate(s) or covariate level(s)
# weights: 3 (2 variable)
initial value 135.856847
final value 120.429251
converged
# weights: 3 (2 variable)
initial value 112.289843
iter 10 value 52.573005
final value 52.573004
converged
# weights: 3 (2 variable)
initial value 127.539081
final value 115.511539
converged
# weights: 3 (2 variable)
initial value 126.845934
final value 108.737910
converged
Loading required package: ks
Attaching package: 'ks'
The following object is masked from 'package:testthat':
compare
[ FAIL 1 | WARN 1 | SKIP 3 | PASS 47 ]
══ Skipped tests (3) ═══════════════════════════════════════════════════════════
• On CRAN (3): 'test-causal_cdcorr.R:31:3', 'test-causal_cdcorr.R:46:3',
'test-causal_cdcorr.R:89:3'
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-causal_ccombat.R:70:3'): AIPW cComBat raises warning when few samples are retained ──
`cb.correct.aipw_cComBat(...)` did not throw the expected warning.
[ FAIL 1 | WARN 1 | SKIP 3 | PASS 47 ]
Error: Test failures
Execution halted
Flavor: r-devel-linux-x86_64-debian-clang
Current CRAN status: NOTE: 13
Version: 2.1
Check: CRAN incoming feasibility
Result: NOTE
Maintainer: ‘Eric Bridgeford <ericwb95@gmail.com>’
The Description field contains
et al. (2017) <arXiv:1709.01233>, we provide several methods for
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Version: 2.1
Check: Rd files
Result: NOTE
checkRd: (-1) lol.project.lrlda.Rd:18: Lost braces in \itemize; meant \describe ?
checkRd: (-1) lol.project.lrlda.Rd:19: Lost braces in \itemize; meant \describe ?
checkRd: (-1) lol.project.lrlda.Rd:20: Lost braces in \itemize; meant \describe ?
checkRd: (-1) lol.project.lrlda.Rd:21: Lost braces in \itemize; meant \describe ?
checkRd: (-1) lol.project.lrlda.Rd:22: Lost braces in \itemize; meant \describe ?
checkRd: (-1) lol.project.pca.Rd:16: Lost braces in \itemize; meant \describe ?
checkRd: (-1) lol.project.pca.Rd:17: Lost braces in \itemize; meant \describe ?
checkRd: (-1) lol.project.pca.Rd:18: Lost braces in \itemize; meant \describe ?
checkRd: (-1) lol.project.pca.Rd:19: Lost braces in \itemize; meant \describe ?
checkRd: (-1) lol.project.pca.Rd:20: Lost braces in \itemize; meant \describe ?
checkRd: (-1) lol.sims.fat_tails.Rd:25: Lost braces; missing escapes or markup?
25 | \item{f}{the fatness scaling of the tail. S2 = f*S1, where S1_{ij} = rho if i != j, and 1 if i == j. Defaults to \code{15}.}
| ^
checkRd: (-1) lol.sims.mean_diff.Rd:36: Lost braces; missing escapes or markup?
36 | \item{s}{the scaling parameter of the covariance matrix. S_{ij} = scaling*1 if i == j, or scaling*offdiag if i != j. Defaults to \code{1}.}
| ^
checkRd: (-1) lol.utils.decomp.Rd:21: Lost braces in \itemize; meant \describe ?
checkRd: (-1) lol.utils.decomp.Rd:22: Lost braces in \itemize; meant \describe ?
checkRd: (-1) lol.utils.decomp.Rd:23: Lost braces in \itemize; meant \describe ?
checkRd: (-1) lol.utils.decomp.Rd:24: Lost braces in \itemize; meant \describe ?
checkRd: (-1) lol.utils.decomp.Rd:25: Lost braces in \itemize; meant \describe ?
checkRd: (-1) lol.xval.eval.Rd:31: Lost braces; missing escapes or markup?
31 | \item{alg}{the algorithm to use for embedding. Should be a function that accepts inputs \code{X}, \code{Y}, and has a parameter for \code{alg.dimname} if \code{alg} is supervised, or just \code{X} and \code{alg.dimname} if \code{alg} is unsupervised.This algorithm should return a list containing a matrix that embeds from {d} to {r <= d} dimensions.}
| ^
checkRd: (-1) lol.xval.eval.Rd:31: Lost braces; missing escapes or markup?
31 | \item{alg}{the algorithm to use for embedding. Should be a function that accepts inputs \code{X}, \code{Y}, and has a parameter for \code{alg.dimname} if \code{alg} is supervised, or just \code{X} and \code{alg.dimname} if \code{alg} is unsupervised.This algorithm should return a list containing a matrix that embeds from {d} to {r <= d} dimensions.}
| ^
checkRd: (-1) lol.xval.eval.Rd:68: Lost braces
68 | \item{if ]code{rank.low == TRUE}, users cross-validation method with \code{ntrain = min((k-1)/k*n, d)} sample training sets, where \code{d} is the number of dimensions in \code{X}. This ensures that the training data is always low-rank, \code{ntrain < d + 1}. Note that the resulting training sets may have \code{ntrain < (k-1)/k*n}, but the resulting testing sets will always be properly rotated \code{ntest = n/k} to ensure no dependencies in fold-wise testing.}
| ^
checkRd: (-1) lol.xval.optimal_dimselect.Rd:32: Lost braces; missing escapes or markup?
32 | \item{alg}{the algorithm to use for embedding. Should be a function that accepts inputs \code{X} and \code{Y} and embedding dimension \code{r} if \code{alg} is supervised, or just \code{X} and embedding dimension \code{r} if \code{alg} is unsupervised.This algorithm should return a list containing a matrix that embeds from {d} to {r < d} dimensions.}
| ^
checkRd: (-1) lol.xval.optimal_dimselect.Rd:32: Lost braces; missing escapes or markup?
32 | \item{alg}{the algorithm to use for embedding. Should be a function that accepts inputs \code{X} and \code{Y} and embedding dimension \code{r} if \code{alg} is supervised, or just \code{X} and embedding dimension \code{r} if \code{alg} is unsupervised.This algorithm should return a list containing a matrix that embeds from {d} to {r < d} dimensions.}
| ^
checkRd: (-1) lol.xval.optimal_dimselect.Rd:75: Lost braces
75 | \item{if ]code{rank.low == TRUE}, users cross-validation method with \code{ntrain = min((k-1)/k*n, d)} sample training sets, where \code{d} is the number of dimensions in \code{X}. This ensures that the training data is always low-rank, \code{ntrain < d + 1}. Note that the resulting training sets may have \code{ntrain < (k-1)/k*n}, but the resulting testing sets will always be properly rotated \code{ntest = n/k} to ensure no dependencies in fold-wise testing.}
| ^
checkRd: (-1) predict.nearestCentroid.Rd:12: Lost braces in \itemize; meant \describe ?
checkRd: (-1) predict.nearestCentroid.Rd:13: Lost braces in \itemize; meant \describe ?
checkRd: (-1) predict.nearestCentroid.Rd:14: Lost braces in \itemize; meant \describe ?
checkRd: (-1) predict.randomChance.Rd:12: Lost braces in \itemize; meant \describe ?
checkRd: (-1) predict.randomChance.Rd:13: Lost braces in \itemize; meant \describe ?
checkRd: (-1) predict.randomGuess.Rd:12: Lost braces in \itemize; meant \describe ?
checkRd: (-1) predict.randomGuess.Rd:13: Lost braces in \itemize; meant \describe ?
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64
Version: 2.1
Check: dependencies in R code
Result: NOTE
Namespace in Imports field not imported from: ‘ggplot2’
All declared Imports should be used.
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Version: 2.1
Check: LazyData
Result: NOTE
'LazyData' is specified without a 'data' directory
Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64
Current CRAN status: NOTE: 5, OK: 8
Version: 2.0.2
Check: dependencies in R code
Result: NOTE
Namespaces in Imports field not imported from:
‘boot’ ‘energy’
All declared Imports should be used.
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Version: 2.0.2
Check: LazyData
Result: NOTE
'LazyData' is specified without a 'data' directory
Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64