Package: VARSELECTEXPOSURE 1.0.3

Alex Martinez

VARSELECTEXPOSURE: Variable Selection Methods Including an Exposure Variable

Utilizes multiple variable selection methods to estimate Average Treatment Effect.

Authors:Alex Martinez [aut, cre], Andrew Chapple [aut]

VARSELECTEXPOSURE_1.0.3.tar.gz
VARSELECTEXPOSURE_1.0.3.tar.gz(r-4.7-arm64)VARSELECTEXPOSURE_1.0.3.tar.gz(r-4.7-x86_64)VARSELECTEXPOSURE_1.0.3.tar.gz(r-4.6-arm64)VARSELECTEXPOSURE_1.0.3.tar.gz(r-4.6-x86_64)
VARSELECTEXPOSURE_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
VARSELECTEXPOSURE/json (API)

# Install 'VARSELECTEXPOSURE' in R:
install.packages('VARSELECTEXPOSURE', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

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

openblascppopenmp

1.00 score 174 downloads 5 exports 2 dependencies

Last updated from:93a1ee6367. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK128
linux-devel-x86_64OK117
source / vignettesOK154
linux-release-arm64OK123
linux-release-x86_64OK113
wasm-releaseOK102

Exports:BACKWARD_EXPOSUREFORWARD_EXPOSURELIKEMCMC_LOGIT_KEEPSTEPWISE_EXPOSURE

Dependencies:RcppRcppArmadillo