mnlr Goto Github PK

bndownscale

Climate Downscaling with Bayesian Networks in R. This is the code for the Master's Thesis Multisite Downscaling of Precipitation with Bayesian Networks, which can be found in the link below. Note that this work has been polished and reworked thoroughly in the repository downscaleR.BN.

bnicrf

Bayesian Network-Infored Conditional Random Forests

bnlearn

:exclamation: This is a read-only mirror of the CRAN R package repository. bnlearn — Bayesian Network Structure Learning, Parameter Learning and Inference. Homepage: http://www.bnlearn.com/

bnweathergen

Weather Generators with Bayesian Networks

downscaler

R package for statistical downscaling in climate

downscaler.bn

A package for R that applies Bayesian Networks to climate prediction. Aimed to work with Bnlearn (http://www.bnlearn.com) and to integrate seamlessly with Santander Meteorology Group Climate4R bundle (https://github.com/SantanderMetGroup).

git-bash

master-data-science

Class Material

quoridor

Implementation of an Artificial Intelligence in C++ that plays the tabletop game Quoridor (https://boardgamegeek.com/boardgame/624/quoridor)

randomforestdist

Random Forests built on top of rpart, with additional functionality, split functions and probability distributions.

rpart

Recursive Partitioning and Regression Trees adapted to Random Forests with more split functions

sbck

wilkswg

Wilks Multisite Weather Generator