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imt: Impact Measurement Toolkit

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 ORCID iD [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

Documentation:

Reference manual: imt.pdf

Downloads:

Package source: imt_1.0.0.tar.gz
Windows binaries: r-devel: imt_1.0.0.zip, r-release: imt_1.0.0.zip, r-oldrel: imt_1.0.0.zip
macOS binaries: r-release (arm64): imt_1.0.0.tgz, r-oldrel (arm64): imt_1.0.0.tgz, r-release (x86_64): imt_1.0.0.tgz, r-oldrel (x86_64): imt_1.0.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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