get_mnpp.lasso: Get the MNPP for a Model fit via Lasso
In jackmwolf/tehtuner: Fit and Tune Models to Detect Treatment Effect Heterogeneity
get_mnpp.lasso R Documentation
Get the MNPP for a Model fit via Lasso
Description
Finds the lowest penalty parameter for a null lasso model.
Usage
get_mnpp.lasso(z, data, Trt, Y)
Arguments
z
a numeric vector of estimated CATEs from Step 1
data
a data frame containing a response, binary treatment indicators,
and covariates.
Trt
a string specifying the name of the column of data
contains the treatment indicators.
Y
a string specifying the name of the column of data
contains the response.
jackmwolf/tehtuner documentation built on June 10, 2025, 10:32 p.m.
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| get_mnpp.lasso | R Documentation |
Get the MNPP for a Model fit via Lasso
Description
Finds the lowest penalty parameter for a null lasso model.
Usage
get_mnpp.lasso(z, data, Trt, Y)
Arguments
z |
a numeric vector of estimated CATEs from Step 1 |
data |
a data frame containing a response, binary treatment indicators, and covariates. |
Trt |
a string specifying the name of the column of |
Y |
a string specifying the name of the column of |
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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