Overview | Causal Poisson regression | Exhaustive search with chi-square test | Stepwise search | Causal logistic regression | Causal GAMs for nonlinear relationships | Larger example: 5 covariates | Summary of recommendations | Reference
This package is considered a duplicate. The official version of this package is found at:https://franciscorichter.r-universe.dev/causalreg
Package: causalreg 0.3.0
Veronica Vinciotti
causalreg: Causal Generalized Linear Models
An implementation of methods for causal discovery in a structural causal model where the conditional distribution of the target node is described by a generalized linear model conditional on its causal parents.
Authors:
causalreg_0.3.0.tar.gz
causalreg_0.3.0.zip(r-4.7-x86_64)causalreg_0.3.0.zip(r-4.7-arm64)causalreg_0.3.0.zip(r-4.6-x86_64)causalreg_0.3.0.zip(r-4.6-arm64)
causalreg_0.3.0.tar.gz(r-4.7-arm64)causalreg_0.3.0.tar.gz(r-4.7-x86_64)causalreg_0.3.0.tar.gz(r-4.6-arm64)causalreg_0.3.0.tar.gz(r-4.6-x86_64)
causalreg_0.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
causalreg/json (API)
| # Install 'causalreg' in R: |
| install.packages('causalreg', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/franciscorichter/causalreg/issues
Last updated from:6758158e1e. Checks:10 OK. Indexed: no.
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bootstrap p-value for Pearson risk = 1 test (fully in C++) | boot_pval_cpp |
| Causal generalized additive model | cgam |
| Causal generalized linear model | cglm |
| Evaluate multiple submodels in C++ (for exhaustive search) | eval_submodels_cpp |
| Fit GLM and compute Pearson risk, BIC, and optionally bootstrap p-value | fast_fit_and_stat |
| Compute BIC for a GLM fit | fast_glm_bic |
| Fast GLM fit via IRLS | fast_glm_fit |
| Compute log-likelihood for Poisson or Binomial GLM | glm_loglik_cpp |
| Compute Pearson chi-square statistic from y and mu | pearson_stat_cpp |