Package: BCEE 1.3.2

BCEE: The Bayesian Causal Effect Estimation Algorithm

A Bayesian model averaging approach to causal effect estimation based on the BCEE algorithm. Currently supports binary or continuous exposures and outcomes. For more details, see Talbot et al. (2015) <doi:10.1515/jci-2014-0035> Talbot and Beaudoin (2022) <doi:10.1515/jci-2021-0023>.

Authors:Denis Talbot, Genevieve Lefebvre, Juli Atherton, Yohann Chiu.

BCEE_1.3.2.tar.gz
BCEE_1.3.2.zip(r-4.7-x86_64)BCEE_1.3.2.zip(r-4.7-arm64)BCEE_1.3.2.zip(r-4.6-x86_64)BCEE_1.3.2.zip(r-4.6-arm64)BCEE_1.3.2.zip(r-4.5-x86_64)
BCEE_1.3.2.tgz(r-4.6-x86_64)BCEE_1.3.2.tgz(r-4.6-arm64)BCEE_1.3.2.tgz(r-4.5-x86_64)BCEE_1.3.2.tgz(r-4.5-arm64)
BCEE_1.3.2.tar.gz(r-4.7-arm64)BCEE_1.3.2.tar.gz(r-4.7-x86_64)BCEE_1.3.2.tar.gz(r-4.6-arm64)BCEE_1.3.2.tar.gz(r-4.6-x86_64)
BCEE_1.3.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
BCEE/json (API)

# Install 'BCEE' in R:
install.packages('BCEE', repos = c('https://detal9.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 2 scripts 481 downloads 3 exports 14 dependencies

Last updated from:df94ae83a8. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK152
linux-devel-x86_64OK129
source / vignettesOK170
linux-release-arm64OK94
linux-release-x86_64OK126
macos-release-arm64OK105
macos-release-x86_64OK330
macos-oldrel-arm64OK102
macos-oldrel-x86_64OK278
windows-devel-arm64OK400
windows-devel-x86_64OK156
windows-release-arm64OK348
windows-release-x86_64OK121
windows-oldrel-x86_64OK110
wasm-releaseOK90

Exports:ABCEEGBCEENBCEE

Dependencies:BMAbootDEoptimRinlinelatticeleapsMatrixmvtnormpcaPPRcppRcppArmadillorobustbaserrcovsurvival