You can install the current version of interpretnn from CRAN with:
install.packages("interpretnn")
You can install the development version of interpretnn from GitHub with:
# install.packages("devtools")
devtools::install_github("andrew-mcinerney/interpretnn")
The primary function in this package is interpretnn()
. It creates a
more statistically-based object of an existing neural network object.
Currently supports neural networks from nnet
, neuralnet
, keras
,
ANN
, and torch
.
library(interpretnn)
intnn <- interpretnn(object)
A useful summary table can be generated using
summary(intnn)
and covariate-effect plots can be created using
plot(intnn, conf_int = TRUE)
More information about these functions and their arguments can be found in the documentation.
This package is currently in development. If you experience any issues, please get in touch.