jrlockwood/HETOP
MLE and Bayesian Estimation of Heteroskedastic Ordered Probit (HETOP) Model

Package index
Search the jrlockwood/HETOP package
Functions
10
Source code
5
Man pages
5
Home
/
GitHub
/
jrlockwood/HETOP: MLE and Bayesian Estimation of Heteroskedastic Ordered Probit (HETOP) Model
/
Man pages

Man pages for jrlockwood/HETOP
MLE and Bayesian Estimation of Heteroskedastic Ordered Probit (HETOP) Model

fh_hetopFit Fay-Herriot Heteroskedastic Ordered Probit (FH-HETOP)...
gendata_hetopGenerate count data from Heteroskedastic Ordered Probit...
mle_hetopMaximum Likelihood Estimation of Heteroskedastic Ordered...
triple_goalShen and Louis (1998) Triple Goal Estimators
waic_hetopWAIC for FH-HETOP model
jrlockwood/HETOP documentation built on April 9, 2022, 4 a.m.

R Package Documentation

rdrr.io home R language documentation Run R code online

Browse R Packages

CRAN packages Bioconductor packages R-Forge packages GitHub packages

We want your feedback!

Note that we can't provide technical support on individual packages. You should contact the package authors for that.
GitHub issue tracker
ian@mutexlabs.com
Personal blog

 
Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.

Close