cranedroesch/panelNNET: Semiparametric panel data models using neural networks
Version 1.0

Fits fixed-effects models for panel data, in which some terms may enter linearly and others may enter non-parametrically. The nonparametric terms are represented by either feed-forward or convolutional neural networks, with arbitrarily-many hidden layers and hidden units per layer. Disclaimer: this code is that of the author and should not be attributed to the Economic Research Service or USDA.

Getting started

Package details

AuthorAndrew Crane-Droesch
MaintainerAndrew Crane-Droesch <[email protected]>
LicenseGPL (>= 2)
Version1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("cranedroesch/panelNNET")
cranedroesch/panelNNET documentation built on Nov. 21, 2017, 9:28 a.m.