Bayesian Survival Regression with Flexible Error and Random Effects Distributions
Helping function for Bayesian regression with smoothed bivariate densi...
Population-averaged accelerated failure time model for bivariate, poss...
Summary for the density estimate based on the mixture Bayesian AFT mod...
Summary for the density estimate based on the model with Bayesian G-sp...
Helping function for Bayesian smoothing of (bi)-variate densities base...
Smoothing of a uni- or bivariate histogram using Bayesian G-splines
Helping function for Bayesian survival regression models.
Read the initial values for the Bayesian survival regression model to ...
Helping function for Bayesian survival regression models, version 1.
A Bayesian survival regression with an error distribution expressed as...
Helping functions for Bayesian regression with an error distribution s...
Cluster-specific accelerated failure time model for multivariate, poss...
Helping functions for Bayesian regression with an error distribution s...
Cluster-specific accelerated failure time model for multivariate, poss...
Compute a simultaneous credible region (rectangle) from a sample for a...
Probability density function estimate from MCMC output
Write headers to or clean files with sampled G-spline
Read the sampled values from the Bayesian survival regression model to...
Check and possibly fill in initial values for the G-spline, augmented ...
Brief summary for the chain(s) obtained using the MCMC.
Summary for the marginal density estimates based on the bivariate mode...
Plot an object of class bayesDensity
Plot an object of class bayesGspline
Plot an object of class marginal.bayesGspline
Compute predictive quantities based on a Bayesian survival regression ...
Compute predictive quantities based on a Bayesian survival regression ...
Print a summary for the density estimate based on the Bayesian model.
Sample from the multivariate normal distribution
Sample from the Wishart distribution
Compute a sample covariance matrix.
Estimate of the Kendall's tau from the bivariate model
Read Data Values
Compute a simultaneous p-value from a sample for a vector valued param...
Trace plot of MCMC output.
Transform single component indeces to double component indeces
Contains Bayesian implementations of the Mixed-Effects Accelerated Failure Time (MEAFT) models for censored data. Those can be not only right-censored but also interval-censored, doubly-interval-censored or misclassified interval-censored. The methods implemented in the package have been published in Komárek and Lesaffre (2006, Stat. Modelling) <doi:10.1191/1471082X06st107oa>, Komárek, Lesaffre and Legrand (2007, Stat. in Medicine) <doi:10.1002/sim.3083>, Komárek and Lesaffre (2007, Stat. Sinica) <https://www3.stat.sinica.edu.tw/statistica/oldpdf/A17n27.pdf>, Komárek and Lesaffre (2008, JASA) <doi:10.1198/016214507000000563>, García-Zattera, Jara and Komárek (2016, Biometrics) <doi:10.1111/biom.12424>.