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-4.5-noble)VARSELECTEXPOSURE_1.0.3.tar.gz(r-4.4-noble)
VARSELECTEXPOSURE_1.0.3.tgz(r-4.4-emscripten)VARSELECTEXPOSURE_1.0.3.tgz(r-4.3-emscripten)
VARSELECTEXPOSURE.pdf |VARSELECTEXPOSURE.html✨
VARSELECTEXPOSURE/json (API)

# Install 'VARSELECTEXPOSURE' in R:
install.packages('VARSELECTEXPOSURE', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

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

5 exports 0.00 score 2 dependencies 191 downloads

Last updated 1 years agofrom:93a1ee6367. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 22 2024
R-4.5-linux-x86_64OKAug 22 2024

Exports:BACKWARD_EXPOSUREFORWARD_EXPOSURELIKEMCMC_LOGIT_KEEPSTEPWISE_EXPOSURE

Dependencies:RcppRcppArmadillo