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 results |