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bayesSurv (version 0.5-6)
Bayesian Survival Regression with Flexible Error and Random Effects Distributions
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Install
install.packages('bayesSurv')
Monthly Downloads
243
Version
0.5-6
License
GPL version 2 or newer
Maintainer
Arnost Komarek
Last Published
September 16th, 2024
Functions in bayesSurv (0.5-6)
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bayesGspline
Summary for the density estimate based on the model with Bayesian G-splines.
bayesHistogram
Smoothing of a uni- or bivariate histogram using Bayesian G-splines
traceplot2
Trace plot of MCMC output.
bayesDensity
Summary for the density estimate based on the mixture Bayesian AFT model.
bayessurvreg.help
Helping function for Bayesian survival regression models.
vecr2matr
Transform single component indeces to double component indeces
credible.region
Compute a simultaneous credible region (rectangle) from a sample for a vector valued parameter.
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).
bayessurvreg1.files2init
Read the initial values for the Bayesian survival regression model to the list.
marginal.bayesGspline
Summary for the marginal density estimates based on the bivariate model with Bayesian G-splines.
bayesHistogram.help
Helping function for Bayesian smoothing of (bi)-variate densities based on possibly censored data
files.Gspline
Write headers to or clean files with sampled G-spline
sampled.kendall.tau
Estimate of the Kendall's tau from the bivariate model
bayessurvreg2.help
Helping functions for Bayesian regression with an error distribution smoothed using G-splines
give.summary
Brief summary for the chain(s) obtained using the MCMC.
bayessurvreg1
A Bayesian survival regression with an error distribution expressed as a~normal mixture with unknown number of components
cgd
Chronic Granulomatous Disease data
predictive2
Compute predictive quantities based on a Bayesian survival regression model fitted using bayesBisurvreg or bayessurvreg2 or bayessurvreg3 functions.
densplot2
Probability density function estimate from MCMC output
plot.bayesGspline
Plot an object of class bayesGspline
plot.marginal.bayesGspline
Plot an object of class marginal.bayesGspline
simult.pvalue
Compute a simultaneous p-value from a sample for a vector valued parameter.
tandmob2
Signal Tandmobiel data, version 2
bayessurvreg1.help
Helping function for Bayesian survival regression models, version 1.
files2coda
Read the sampled values from the Bayesian survival regression model to a coda mcmc object.
tandmobRoos
Signal Tandmobiel data, version Roos
bayessurvreg3
Cluster-specific accelerated failure time model for multivariate, possibly doubly-interval-censored data with flexibly specified random effects and/or error distribution.
bayessurvreg3.help
Helping functions for Bayesian regression with an error distribution smoothed using G-splines
plot.bayesDensity
Plot an object of class bayesDensity
predictive
Compute predictive quantities based on a Bayesian survival regression model fitted using bayessurvreg1 function.
print.bayesDensity
Print a summary for the density estimate based on the Bayesian model.
bayesBisurvreg.help
Helping function for Bayesian regression with smoothed bivariate densities as the error term, based on possibly censored data
scanFN
Read Data Values
rMVNorm
Sample from the multivariate normal distribution
rWishart
Sample from the Wishart distribution
give.init
Check and possibly fill in initial values for the G-spline, augmented observations and allocations for Bayesian models with G-splines
sampleCovMat
Compute a sample covariance matrix.
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.