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README.md
In imt: Impact Measurement Toolkit
imt 
Within this package, you will find a collection of straightforward tools
designed to assist in impact measurement. These tools include functions
for randomization, checking baseline balance, and fitting basic Bayesian
models, such as linear, logistic, and negative binomial models.
Installation
You can install the development version of imt from
GitHub with:
# install.packages("pak")
pak::pak("google/imt")
Example
Examples for how to use the function included in this package can be
found here
Try the imt package in your browser
Any scripts or data that you put into this service are public.
imt documentation built on Sept. 11, 2024, 5:41 p.m.
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imt
Within this package, you will find a collection of straightforward tools designed to assist in impact measurement. These tools include functions for randomization, checking baseline balance, and fitting basic Bayesian models, such as linear, logistic, and negative binomial models.
Installation
You can install the development version of imt from GitHub with:
# install.packages("pak")
pak::pak("google/imt")
Example
Examples for how to use the function included in this package can be found here
Try the imt package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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