cluscov

Clustered Covariate Regression. This is an R package for the paper Soale & Tsyawo 2019 "Clustered Covariate Regression". It contains routines for executing the models in the paper. The link to the webpage is https://estsyawo.github.io/cluscov.

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Version

Install

install.packages('cluscov')

Monthly Downloads

131

Version

1.1.0

License

GPL-2

Maintainer

Emmanuel Tsyawo

Last Published

June 4th, 2019

Functions in cluscov (1.1.0)

chmod.gammalog

Regression - gammalog class

chmod

Model criterion function

chmod.gammainverse

Regression - gammainverse class

chmod.poissonlog

Regression - poissonlog class

chmod.poissonidentity

Regression - poissonidentity class

CCRls.coord

Linear regression via coordinate descent with covariate clustering

chmod.poissonsqrt

Regression - poissonsqrt class

CCRseqk

Sequential CCR with k clusters

c_chmod

Concrete class constructor

chmod.probit

Regression - probit class

chmod.qreg

Regression - qreg class

dcluspar

Clustering of vector elements

chmod.logit

Regression - logit class

chmod.negbin

Regression - negbin class

linrclus

Linear regression via coordinate descent with covariate clustering

netdat

Construct a network design matrix

chmod.lm

Regression - lm class

CCRls

Sequential CCR

goldensearch

Golden Section Search Algorithm

goldopt

Integer Golden Search Minimisation