bnormnlr: Bayesian Estimation for Normal Heteroscedastic Nonlinear Regression Models
Version 1.0

Implementation of Bayesian estimation in normal heteroscedastic nonlinear regression Models following Cepeda-Cuervo, (2001).

AuthorNicolas Molano-Gonzalez, Marta Corrales Bossio, Maria Fernanda Zarate, Edilberto Cepeda-Cuervo.
Date of publication2014-12-10 16:26:13
MaintainerNicolas Molano-Gonzalez <nmolanog@unal.edu.co>
LicenseGPL-2
Version1.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("bnormnlr")

Getting started

Package overview

Popular man pages

bnlr: Bayesian Estimation for Normal Heteroscedastic Nonlinear...
bnormnlr-package: Bayesian Estimation for Normal Heteroscedastic Nonlinear...
chainsum: Function to summarize chain results of MCMC simulation...
infocrit: Expected Number of Parameters, DIC, AIC and BIC for bnlr fit.
See all...

All man pages Function index File listing

Man pages

bnlr: Bayesian Estimation for Normal Heteroscedastic Nonlinear...
bnormnlr-package: Bayesian Estimation for Normal Heteroscedastic Nonlinear...
chainsum: Function to summarize chain results of MCMC simulation...
infocrit: Expected Number of Parameters, DIC, AIC and BIC for bnlr fit.

Functions

bnlr Man page Source code
bnormnlr Man page
bnormnlr-package Man page
chainsum Man page Source code
infocrit Man page Source code

Files

NAMESPACE
R
R/bnormnlr.R
MD5
DESCRIPTION
man
man/chainsum.Rd
man/bnormnlr-package.Rd
man/infocrit.Rd
man/bnlr.Rd
bnormnlr documentation built on May 19, 2017, 6:47 p.m.

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