A toolkit for causal inference in experimental and observational studies. Implements various simple Bayesian models including linear, negative binomial, and logistic regression for impact estimation. Provides functionality for randomization and checking baseline equivalence in experimental designs. The package aims to simplify the process of impact measurement for researchers and analysts across different fields. Examples and detailed usage instructions are available at <https://book.martinez.fyi>.
Version: 1.0.0 Depends: R (≥ 3.4.0) Imports: R6, bayesplot, caret, dplyr, ggplot2, glue, magrittr, methods, Rcpp, RcppParallel, rlang, rstan, rstantools, tibble, tidyr, vizdraws, purrr, scales, tidyselect LinkingTo: BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0) Suggests: knitr, rmarkdown, roxygen2, testthat Published: 2024-09-02 DOI: 10.32614/CRAN.package.imt Author: Ignacio Martinez [aut, cre] Maintainer: Ignacio Martinez <martinezig at google.com> BugReports: https://github.com/google/imt/issues License: Apache License (≥ 2.0) URL: https://github.com/google/imt NeedsCompilation: yes SystemRequirements: GNU make Materials: README NEWS CRAN checks: imt resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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