Package: imt
Title: Impact Measurement Toolkit
Version: 1.0.0
Authors@R: 
    person(given = "Ignacio",
           family = "Martinez",
           role = c("aut", "cre"),
           email = "martinezig@google.com",
           comment = c(ORCID = "0000-0002-3721-8172"))
Description: 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>.
License: Apache License (>= 2.0)
Encoding: UTF-8
RoxygenNote: 7.3.2
Biarch: true
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
SystemRequirements: GNU make
URL: https://github.com/google/imt
BugReports: https://github.com/google/imt/issues
NeedsCompilation: yes
Packaged: 2024-08-28 13:19:01 UTC; ignacio
Author: Ignacio Martinez [aut, cre] (<https://orcid.org/0000-0002-3721-8172>)
Maintainer: Ignacio Martinez <martinezig@google.com>
Repository: CRAN
Date/Publication: 2024-09-02 21:40:10 UTC
Built: R 4.5.3; x86_64-w64-mingw32; 2026-05-12 00:57:54 UTC; windows
Archs: x64
