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bayesSurv (version 0.3-3)

Bayesian Survival Regression with Flexible Error and Random Effects Distributions

Description

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Install

install.packages('bayesSurv')

Monthly Downloads

243

Version

0.3-3

License

GPL version 2 or newer

Maintainer

Arnost Komarek

Last Published

September 16th, 2024

Functions in bayesSurv (0.3-3)

plot.bayesGspline

Plot an object of class bayesGspline

bayesBisurvreg.help

Helping function for Bayesian regression with smoothed bivariate densities as the error term, based on possibly censored data

bayesBisurvreg

Population-averaged accelerated failure time model for bivariate, possibly doubly-interval-censored data. The error distribution is expressed as a~penalized bivariate normal mixture with high number of components (bivariate G-spline).

bayesHistogram

Smoothing of a uni- or bivariate histogram using Bayesian G-splines

bayessurvreg1

A Bayesian survival regression with an error distribution expressed as a~normal mixture with unknown number of components

tandmobRoos

Signal Tandmobiel data, version Roos

predictive

Compute predictive quantities based on a Bayesian survival regression model fitted using bayessurvreg1 function.

cgd

Chronic Granulomatous Disease data

bayessurvreg2.help

Helping functions for Bayesian regression with an error distribution smoothed using G-splines

bayessurvreg1.files2init

Read the initial values for the Bayesian survival regression model to the list.

bayesGspline

Summary for the density estimate based on the model with Bayesian G-splines.

bayessurvreg3

Cluster-specific accelerated failure time model for multivariate, possibly doubly-interval-censored data. The random intercept can be included in the model formula. Both the error distribution and the distribution of the random intercept is expressed as a~penalized univariate normal mixture with high number of components (G-spline).

sampleCovMat

Compute a sample covariance matrix.

give.init

Check and possibly fill in initial values for the G-spline, augmented observations and allocations for Bayesian models with G-splines

print.bayesDensity

Print a summary for the density estimate based on the Bayesian model.

predictive2

Compute predictive quantities based on a Bayesian survival regression model fitted using bayesBisurvreg or bayessurvreg2 or bayessurvreg3 functions.

bayessurvreg3.help

Helping functions for Bayesian regression with an error distribution smoothed using G-splines

plot.bayesDensity

Plot an object of class bayesDensity

tandmob2

Signal Tandmobiel data, version 2

bayessurvreg1.help

Helping function for Bayesian survival regression models, version 1.

simult.pvalue

Compute a simultaneous p-value from a sample for a vector valued parameter.

files2coda

Read the sampled values from the Bayesian survival regression model to a coda mcmc object.

bayesHistogram.help

Helping function for Bayesian smoothing of (bi)-variate densities based on possibly censored data

vecr2matr

Transform single component indeces to double component indeces

bayesDensity

Summary for the density estimate based on the mixture Bayesian AFT model.

give.summary

Brief summary for the chain(s) obtained using the MCMC.

bayessurvreg.help

Helping function for Bayesian survival regression models.

densplot2

Probability density function estimate from MCMC output

bayessurvreg2

Cluster-specific accelerated failure time model for multivariate, possibly doubly-interval-censored data. The error distribution is expressed as a~penalized univariate normal mixture with high number of components (G-spline). The distribution of the vector of random effects is multivariate normal.

traceplot2

Trace plot of MCMC output.

files.Gspline

Write headers to or clean files with sampled G-spline

credible.region

Compute a simultaneous credible region (rectangle) from a sample for a vector valued parameter.