cranedroesch/panelNNET: Semiparametric panel data models using neural networks

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.

install.packages("remotes")
remotes::install_github("cranedroesch/panelNNET")