Package: submax 1.1.5

submax: Effect Modification in Observational Studies Using the Submax Method

Effect modification occurs if a treatment effect is larger or more stable in certain subgroups defined by observed covariates. The submax or subgroup-maximum method of Lee et al. (2018) <doi:10.1111/biom.12884> does an overall test and separate tests in subgroups, correcting for multiple testing using the joint distribution.

Authors:Paul R. Rosenbaum [aut, cre]

submax_1.1.5.tar.gz
submax_1.1.5.zip(r-4.7-any)submax_1.1.5.zip(r-4.6-any)submax_1.1.5.zip(r-4.5-any)
submax_1.1.5.tgz(r-4.6-any)submax_1.1.5.tgz(r-4.5-any)
submax_1.1.5.tar.gz(r-4.7-any)submax_1.1.5.tar.gz(r-4.6-any)
submax_1.1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
submax/json (API)

# Install 'submax' in R:
install.packages('submax', repos = c('https://rosenbap.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • Active - Physical Activity and Survival in NHANES
  • mercury - NHANES Mercury/Fish Data
  • tbmetaphase - Genetic damage from drugs used to treat TB

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 9 scripts 227 downloads 5 exports 2 dependencies

Last updated from:531ad780c7. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK86
source / vignettesOK169
linux-releaseOK82
macos-releaseOK96
macos-oldrelOK92
windows-develOK57
windows-releaseOK71
windows-oldrelOK60
wasm-releaseOK76

Exports:amplifymscorevscoreseparable1fcsubmax

Dependencies:mvtnormsensitivityfull