Package: Bayesiantreg 1.0.1

Bayesiantreg: Bayesian t Regression for Modeling Mean and Scale Parameters

Performs Bayesian t Regression where mean and scale parameters are modeling by lineal regression structures, and the degrees of freedom parameters are estimated.

Authors:Margarita Marin and Edilberto Cepeda-Cuervo.

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Bayesiantreg.pdf |Bayesiantreg.html✨
Bayesiantreg/json (API)

# Install 'Bayesiantreg' in R:

install.packages('Bayesiantreg', repos = c('https://mmarinj.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 216 downloads 19 exports 4 dependencies

Last updated 11 months agofrom:58bf7ff546. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 10 2024
R-4.5-win	OK	Oct 10 2024
R-4.5-linux	OK	Oct 10 2024
R-4.4-win	OK	Oct 10 2024
R-4.4-mac	OK	Oct 10 2024
R-4.3-win	OK	Oct 10 2024
R-4.3-mac	OK	Oct 10 2024

Exports:Bayesiantreg BayesiantregEst criteria devero dJ2 dpostb dpostg gammakernel gammaproposal glpost glproposal mukernel muproposal pJ2 print.summary.Bayesiantreg rJ2 summary.Bayesiantreg tabla vero

Dependencies:lattice MASS Matrix mvtnorm

Citation

Readme and manuals

Help Manual

Help page	Topics
Function to do Bayesian t Regression: joint mean and variance modeling and estimation of the degrees of freedom	Bayesiantreg-package
Bayesiantreg	Bayesiantreg
Bayesian t regression	BayesiantregEst
criteria for comparison the bayesian t regression models	criteria
Loglikelihood for every point of the t model	devero
density of the Jeffrey's distribution	dJ2
Posterior value of beta	dpostb
Posterior density of gamma	dpostg
the probability of a gamma parameter from the probability density funcion defined by old parameters.	gammakernel
A proposal for gamma parameters	gammaproposal
Posterior value of the degrees of freedom	glpost
A proposal for degrees of freedom parameter	glproposal
the probability of a beta parameter from the probability density funcion defined by old parameters	mukernel
A proposal for beta parameter	muproposal
density of the Jeffrey's distribution	pJ2
print the summary of the Bayesian t regression	print.summary.Bayesiantreg
random number from the Jeffrey's distribution	rJ2
summary of the Bayesian t regression	summary.Bayesiantreg
probabilities and numbers from the Jeffrey's distribution	tabla
Loglikelihood for the t model	vero

Package: Bayesiantreg 1.0.1

Bayesiantreg: Bayesian t Regression for Modeling Mean and Scale Parameters

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)