NeuralNetTools: Visualization and Analysis Tools for Neural Networks
Version 1.5.0

Visualization and analysis tools to aid in the interpretation of neural network models. Functions are available for plotting, quantifying variable importance, conducting a sensitivity analysis, and obtaining a simple list of model weights.

AuthorMarcus W. Beck [aut, cre]
Date of publication2016-11-25 00:27:31
MaintainerMarcus W. Beck <mbafs2012@gmail.com>
LicenseCC0
Version1.5.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("NeuralNetTools")

Getting started

README.md

Popular man pages

garson: Variable importance using Garson's algorithm
lekprofile: Sensitivity analysis using Lek's profile method
neuralskips: Get weights for the skip layer in a neural network
neuralweights: Get weights for a neural network
olden: Variable importance using connection weights
plotnet: Plot a neural network model
pred_sens: Predicted values for Lek profile method
See all...

All man pages Function index File listing

Man pages

bias_lines: Plot connection weights for bias lines
bias_points: Plot bias points
garson: Variable importance using Garson's algorithm
get_ys: Get y locations for layers in 'plotnet'
layer_lines: Plot connection weights
layer_points: Plot neural network nodes
lekgrps: Create optional barplot for 'lekprofile' groups
lekprofile: Sensitivity analysis using Lek's profile method
neuraldat: Simulated dataset for function examples
neuralskips: Get weights for the skip layer in a neural network
neuralweights: Get weights for a neural network
olden: Variable importance using connection weights
plotnet: Plot a neural network model
pred_sens: Predicted values for Lek profile method

Functions

bias_lines Man page Source code
bias_points Man page Source code
garson Man page Source code
garson.default Man page Source code
garson.mlp Man page Source code
garson.nn Man page Source code
garson.nnet Man page Source code
garson.numeric Man page Source code
garson.train Man page Source code
get_ys Man page Source code
layer_lines Man page Source code
layer_points Man page Source code
lekgrps Man page Source code
lekprofile Man page Source code
lekprofile.default Man page Source code
lekprofile.mlp Man page Source code
lekprofile.nn Man page Source code
lekprofile.nnet Man page Source code
lekprofile.train Man page Source code
neuraldat Man page
neuralskips Man page Source code
neuralskips.nnet Man page Source code
neuralweights Man page Source code
neuralweights.mlp Man page Source code
neuralweights.nn Man page Source code
neuralweights.nnet Man page Source code
neuralweights.numeric Man page Source code
olden Man page Source code
olden.default Man page Source code
olden.mlp Man page Source code
olden.nn Man page Source code
olden.nnet Man page Source code
olden.numeric Man page Source code
olden.train Man page Source code
plotnet Man page Source code
plotnet.default Man page Source code
plotnet.mlp Man page Source code
plotnet.nn Man page Source code
plotnet.nnet Man page Source code
plotnet.numeric Man page Source code
plotnet.train Man page Source code
pred_sens Man page Source code

Files

inst
inst/CITATION
NAMESPACE
data
data/neuraldat.RData
R
R/NeuralNetTools_gar.R
R/NeuralNetTools_old.R
R/NeuralNetTools_plot.R
R/NeuralNetTools_utils.R
R/NeuralNetTools_neuraldat.R
R/NeuralNetTools_lek.R
README.md
MD5
DESCRIPTION
man
man/bias_lines.Rd
man/layer_lines.Rd
man/lekprofile.Rd
man/garson.Rd
man/pred_sens.Rd
man/neuraldat.Rd
man/bias_points.Rd
man/olden.Rd
man/neuralweights.Rd
man/layer_points.Rd
man/neuralskips.Rd
man/plotnet.Rd
man/lekgrps.Rd
man/get_ys.Rd
NeuralNetTools documentation built on May 19, 2017, 12:21 p.m.