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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
Previous versions and publish date:
No previous versions
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View imt citation profile
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Functions, R codes and Examples using the imt R package
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