BayesGESM: Bayesian Analysis of Generalized Elliptical Semi-Parametric Models and Flexible Measurement Error Models

Set of tools to perform the statistical inference based on the Bayesian approach for regression models under the assumption that independent additive errors follow normal, Student-t, slash, contaminated normal, Laplace or symmetric hyperbolic distributions, i.e., additive errors follow a scale mixtures of normal distributions. The regression models considered in this package are: (i) Generalized elliptical semi-parametric models, where both location and dispersion parameters of the response variable distribution include non-parametric additive components described by using B-splines; and (ii) Flexible measurement error models under the presence of homoscedastic and heteroscedastic random errors, which admit explanatory variables with and without measurement additive errors as well as the presence of a non-parametric components approximated by using B-splines.

Author
Luz Marina Rondon <lumarp@gmail.com> and Heleno Bolfarine
Date of publication
2015-06-06 07:50:04
Maintainer
Luz Marina Rondon <lumarp@gmail.com>
License
GPL-2 | GPL-3
Version
1.4

View on CRAN

Man pages

BayesGESM-package
Bayesian Analysis of Generalized Elliptical Semi-Parametric...
bsp
Tool to approximate smooth functions by B-splines.
bsp.graph.fmem
Tool for plotting the nonlinear effects that are approximated...
bsp.graph.gesm
Tool for plotting the nonlinear effects that are approximated...
fmem
Flexible Measurement Error Models
gesm
Generalized Elliptical Semi-parametric Models
mcmc.fmem
MCMC algorithm for Flexible Measurement Error Models
mcmc.gesm
MCMC algorithm for Generalized Elliptical Semi-parametric...
summary.fmem
Produces a complete summary of flexible measurement error...
summary.gesm
Produces a complete summary of Generalized elliptical...
TexasData
Relationship between income and demographic composition in...

Files in this package

BayesGESM
BayesGESM/NAMESPACE
BayesGESM/data
BayesGESM/data/TexasData.rda
BayesGESM/R
BayesGESM/R/mcmc.fmem.R
BayesGESM/R/bsp.R
BayesGESM/R/fmem.R
BayesGESM/R/summary.fmem.R
BayesGESM/R/gesm.R
BayesGESM/R/BayesGESM-internal.R
BayesGESM/R/bsp.graph.fmem.R
BayesGESM/R/mcmc.gesm.R
BayesGESM/R/bsp.graph.gesm.R
BayesGESM/R/summary.gesm.R
BayesGESM/MD5
BayesGESM/DESCRIPTION
BayesGESM/man
BayesGESM/man/gesm.Rd
BayesGESM/man/summary.fmem.Rd
BayesGESM/man/fmem.Rd
BayesGESM/man/BayesGESM-package.Rd
BayesGESM/man/TexasData.Rd
BayesGESM/man/bsp.graph.gesm.Rd
BayesGESM/man/bsp.graph.fmem.Rd
BayesGESM/man/mcmc.gesm.Rd
BayesGESM/man/bsp.Rd
BayesGESM/man/summary.gesm.Rd
BayesGESM/man/mcmc.fmem.Rd