imt: Impact Measurement Toolkit (original) (raw)
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 |
| 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 results |
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