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cluscov  

Clustered Covariate Regression
View on CRAN: Click here


Download and install cluscov package within the R console
Install from CRAN:
install.packages("cluscov")

Install from Github:
library("remotes")
install_github("cran/cluscov")

Install by package version:
library("remotes")
install_version("cluscov", "1.1.0")



Attach the package and use:
library("cluscov")
Maintained by
Emmanuel S Tsyawo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-06-04
Latest Update: 2019-06-04
Description:
Clustered covariate regression enables estimation and inference in both linear and non-linear models with linear predictor functions even when the design matrix is column rank deficient. Routines in this package implement algorithms in Soale and Tsyawo (2019) .
How to cite:
Emmanuel S Tsyawo (2019). cluscov: Clustered Covariate Regression. R package version 1.1.0, https://cran.r-project.org/web/packages/cluscov. Accessed 08 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:26), 1.1.0 (2019-06-04 14:30)
Other packages that cited cluscov R package
View cluscov citation profile
Other R packages that cluscov depends, imports, suggests or enhances
Complete documentation for cluscov
Functions, R codes and Examples using the cluscov R package
Some associated functions: CCRls.coord . CCRls . CCRseqk . c_chmod . chmod.gammainverse . chmod.gammalog . chmod.lm . chmod.logit . chmod.negbin . chmod . chmod.poissonidentity . chmod.poissonlog . chmod.poissonsqrt . chmod.probit . chmod.qreg . dcluspar . goldensearch . goldopt . linrclus . netdat . 
Some associated R codes: Functions.R .  Full cluscov package functions and examples
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