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freezenik
bamlss:Bayesian Additive Models for Location, Scale, and Shape (and Beyond)
Infrastructure for estimating probabilistic distributional regression models in a Bayesian framework. The distribution parameters may capture location, scale, shape, etc. and every parameter may depend on complex additive terms (fixed, random, smooth, spatial, etc.) similar to a generalized additive model. The conceptual and computational framework is introduced in Umlauf, Klein, Zeileis (2019) <doi:10.1080/10618600.2017.1407325> and the R package in Umlauf, Klein, Simon, Zeileis (2021) <doi:10.18637/jss.v100.i04>.
Maintained by Nikolaus Umlauf. Last updated 6 months ago.
1 stars 5.76 score 239 scripts 5 dependents
fawda123
WRTDStidal:Weighted Regression for Water Quality Evaluation in Tidal Waters
An adaptation for estuaries (tidal waters) of weighted regression on time, discharge, and season to evaluate trends in water quality time series. Please see Beck and Hagy (2015) <doi:10.1007/s10666-015-9452-8> for details.
Maintained by Marcus W. Beck. Last updated 1 years ago.
4 stars 5.38 score 119 scriptsfreezenik
R2BayesX:Estimate Structured Additive Regression Models with 'BayesX'
An R interface to estimate structured additive regression (STAR) models with 'BayesX'.
Maintained by Nikolaus Umlauf. Last updated 4 days ago.
1 stars 3.55 score 118 scripts 1 dependents