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bayesSurv (version 0.5-10)
Bayesian Survival Regression with Flexible Error and Random Effects Distributions
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Install
install.packages('bayesSurv')
Monthly Downloads
675
Version
0.5-10
License
GPL (>= 2)
Maintainer
Arnošt Komárek
Last Published
June 26th, 2008
Functions in bayesSurv (0.5-10)
Search functions
bayessurvreg.help
Helping function for Bayesian survival regression models.
bayessurvreg1.help
Helping function for Bayesian survival regression models, version 1.
print.bayesDensity
Print a summary for the density estimate based on the Bayesian model.
credible.region
Compute a simultaneous credible region (rectangle) from a sample for a vector valued parameter.
give.summary
Brief summary for the chain(s) obtained using the MCMC.
bayesGspline
Summary for the density estimate based on the model with Bayesian G-splines.
densplot2
Probability density function estimate from MCMC output
files.Gspline
Write headers to or clean files with sampled G-spline
bayessurvreg1
A Bayesian survival regression with an error distribution expressed as a~normal mixture with unknown number of components
plot.bayesGspline
Plot an object of class bayesGspline
bayessurvreg1.files2init
Read the initial values for the Bayesian survival regression model to the list.
bayesHistogram
Smoothing of a uni- or bivariate histogram using Bayesian G-splines
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).
cgd
Chronic Granulomatous Disease data
bayessurvreg2.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.
bayessurvreg3.help
Helping functions for Bayesian regression with an error distribution smoothed using G-splines
bayesHistogram.help
Helping function for Bayesian smoothing of (bi)-variate densities based on possibly censored data
bayesDensity
Summary for the density estimate based on the mixture Bayesian AFT model.
bayesBisurvreg.help
Helping function for Bayesian regression with smoothed bivariate densities as the error term, based on possibly censored data
traceplot2
Trace plot of 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.
sampled.kendall.tau
Estimate of the Kendall's tau from the bivariate model
marginal.bayesGspline
Summary for the marginal density estimates based on the bivariate model with Bayesian G-splines.
rMVNorm
Sample from the multivariate normal distribution
files2coda
Read the sampled values from the Bayesian survival regression model to a coda mcmc object.
vecr2matr
Transform single component indeces to double component indeces
predictive
Compute predictive quantities based on a Bayesian survival regression model fitted using bayessurvreg1 function.
tandmobRoos
Signal Tandmobiel data, version Roos
give.init
Check and possibly fill in initial values for the G-spline, augmented observations and allocations for Bayesian models with G-splines
predictive2
Compute predictive quantities based on a Bayesian survival regression model fitted using bayesBisurvreg or bayessurvreg2 or bayessurvreg3 functions.
simult.pvalue
Compute a simultaneous p-value from a sample for a vector valued parameter.
rWishart
Sample from the Wishart distribution
plot.bayesDensity
Plot an object of class bayesDensity
scanFN
Read Data Values
sampleCovMat
Compute a sample covariance matrix.
tandmob2
Signal Tandmobiel data, version 2
plot.marginal.bayesGspline
Plot an object of class marginal.bayesGspline