MateusMaiaDS/HM804_NIGP

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R
Created over 3 years ago
Updated over 3 years ago

MateusMaiaDS/HM804_NIGP

MateusMaiaDS

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R implementation of the model "Gaussian Process Training with Input Noise" from Andrew McHutchon & Carl Edward Rasmussen (2011)

gpbart

Implementation of GP-BART algorithm.

rmachines

Random Machines: a package for a support vector ensemble based on random kernel space

subart

Implementation of the suBART.

randomMachines

hbart

My (slow) implementation of heteroscedasticity Bayesian Additive Regression Trees (Pratola,2018)

psbart

Penalised Splines for Bayesian Additive Regression Trees

mpsBART4

Multivariate penalised version of BART model with sample of all parameters and using all predictors within all terminal nodes;

rspBART21

Version of Splines-BART without the centered-basis approach and Z = BD'(DD')^(-1)