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.
|Maintainer||Andrew Crane-Droesch <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on GitHub|
Install the latest version of this package by entering the following in R:
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.