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bayesSurv (version 1.1)
Bayesian Survival Regression with Flexible Error and Random Effects Distributions
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Install
install.packages('bayesSurv')
Monthly Downloads
675
Version
1.1
License
GPL (>= 2)
Maintainer
Arnošt Komárek
Last Published
December 27th, 2012
Functions in bayesSurv (1.1)
Search functions
rWishart
Sample from the Wishart distribution
simult.pvalue
Compute a simultaneous p-value from a sample for a vector valued parameter.
vecr2matr
Transform single component indeces to double component indeces
bayesDensity
Summary for the density estimate based on the mixture Bayesian AFT model.
tandmobRoos
Signal Tandmobiel data, version Roos
bayessurvreg1.help
Helping function for Bayesian survival regression models, version 1.
bayesHistogram.help
Helping function for Bayesian smoothing of (bi)-variate densities based on possibly censored data
scanFN
Read Data Values
print.bayesDensity
Print a summary for the density estimate based on the Bayesian model.
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).
bayessurvreg2.help
Helping functions for Bayesian regression with an error distribution smoothed using G-splines
bayessurvreg1
A Bayesian survival regression with an error distribution expressed as a~normal mixture with unknown number of components
sampled.kendall.tau
Estimate of the Kendall's tau from the bivariate model
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.
predictive2
Compute predictive quantities based on a Bayesian survival regression model fitted using bayesBisurvreg or bayessurvreg2 or bayessurvreg3 functions.
plot.bayesDensity
Plot an object of class bayesDensity
bayessurvreg.help
Helping function for Bayesian survival regression models.
traceplot2
Trace plot of MCMC output.
bayesGspline
Summary for the density estimate based on the model with Bayesian G-splines.
credible.region
Compute a simultaneous credible region (rectangle) from a sample for a vector valued parameter.
cgd
Chronic Granulomatous Disease data
densplot2
Probability density function estimate from MCMC output
bayesBisurvreg.help
Helping function for Bayesian regression with smoothed bivariate densities as the error term, based on possibly censored data
give.init
Check and possibly fill in initial values for the G-spline, augmented observations and allocations for Bayesian models with G-splines
predictive
Compute predictive quantities based on a Bayesian survival regression model fitted using bayessurvreg1 function.
files2coda
Read the sampled values from the Bayesian survival regression model to a coda mcmc object.
files.Gspline
Write headers to or clean files with sampled G-spline
bayessurvreg1.files2init
Read the initial values for the Bayesian survival regression model to the list.
plot.marginal.bayesGspline
Plot an object of class marginal.bayesGspline
tandmob2
Signal Tandmobiel data, version 2
give.summary
Brief summary for the chain(s) obtained using the MCMC.
marginal.bayesGspline
Summary for the marginal density estimates based on the bivariate model with Bayesian G-splines.
plot.bayesGspline
Plot an object of class bayesGspline
rMVNorm
Sample from the multivariate normal distribution
bayessurvreg3.help
Helping functions for Bayesian regression with an error distribution smoothed using G-splines
bayessurvreg3
Cluster-specific accelerated failure time model for multivariate, possibly doubly-interval-censored data with flexibly specified random effects and/or error distribution.
sampleCovMat
Compute a sample covariance matrix.
bayesHistogram
Smoothing of a uni- or bivariate histogram using Bayesian G-splines