R: A Tool for Creating Custom Neural Networks in C++ and using Them in R

# A Tool for Creating Custom Neural Networks in C++ and using Them in R

## Documentation for package ‘nnlib2Rcpp’ version 0.2.9

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

nnlib2Rcpp-package | A collection of Neural Networks and tools to create custom models
Autoencoder | Autoencoder NN
BP | Class '"BP"'
BP-class | Class '"BP"'
C++Object-class | Class '"NN"'
LVQs | Class '"LVQs"'
LVQs-class | Class '"LVQs"'
LVQs_recall | LVQs Helper Function: Classify Data Using Supervised LVQ Code-Book Vectors
LVQs_train | LVQs Helper Function: Train a Supervised LVQ
LVQu | Unsupervised LVQ
MAM | Class '"MAM"'
MAM-class | Class '"MAM"'
NN | Class '"NN"'
NN-class | Class '"NN"'
nn-class | Class '"NN"'
nnlib2Rcpp | A collection of Neural Networks and tools to create custom models
NN_component_names | Names of available NN components
NN_R_components | Custom NN components defined using R
RcppClass-class | Class '"NN"'
Rcpp_BP | Class '"BP"'
Rcpp_BP-class | Class '"BP"'
Rcpp_LVQs-class | Class '"LVQs"'
Rcpp_MAM | Class '"MAM"'
Rcpp_MAM-class | Class '"MAM"'
Rcpp_NN | Class '"NN"'
Rcpp_NN-class | Class '"NN"'
SOM | Unsupervised LVQ