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imt  

Impact Measurement Toolkit
View on CRAN: Click here


Download and install imt package within the R console
Install from CRAN:
install.packages("imt")

Install from Github:
library("remotes")
install_github("cran/imt")

Install by package version:
library("remotes")
install_version("imt", "1.0.0")



Attach the package and use:
library("imt")
Maintained by
Ignacio Martinez
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-09-02
Latest Update: 2024-09-02
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>.
How to cite:
Ignacio Martinez (2024). imt: Impact Measurement Toolkit. R package version 1.0.0, https://cran.r-project.org/web/packages/imt. Accessed 29 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited imt R package
View imt citation profile
Other R packages that imt depends, imports, suggests or enhances
Complete documentation for imt
Functions, R codes and Examples using the imt R package
Full imt package functions and examples
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