Back-to-Back regression for encoding and decoding analysis
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Updated
Jul 1, 2022 - Julia
Back-to-Back regression for encoding and decoding analysis
Diagnostic tools for regression modeling. Julia-equivalent for diagnoser (https://github.com/robertschnitman/diagnoser).
Julia implementation of the GP-NLS algorithm described in the paper "Parameter identifcation for symbolic regression using nonlinear least squares"
Box-Cox transformation in Julia
Julia's HPC command for automatic feature/model selection using all-subset-regression approaches
Fast estimation of generalized linear models with high dimensional categorical variables in Julia
Implementation of a Partial Least Squares Regressor
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