About Anaconda Help Download Anaconda

r_test / packages / r-bayespiecewiseicar

Fits a piecewise exponential hazard to survival data using a Hierarchical Bayesian model with an Intrinsic Conditional Autoregressive formulation for the spatial dependency in the hazard rates for each piece. This function uses Metropolis- Hastings-Green MCMC to allow the number of split points to vary. This function outputs graphics that display the histogram of the number of split points and the trace plots of the hierarchical parameters. The function outputs a list that contains the posterior samples for the number of split points, the location of the split points, and the log hazard rates corresponding to these splits. Additionally, this outputs the posterior samples of the two hierarchical parameters, Mu and Sigma^2.

Click on a badge to see how to embed it in your web page
badge
https://anaconda.org/r_test/r-bayespiecewiseicar/badges/version.svg
badge
https://anaconda.org/r_test/r-bayespiecewiseicar/badges/latest_release_date.svg
badge
https://anaconda.org/r_test/r-bayespiecewiseicar/badges/latest_release_relative_date.svg
badge
https://anaconda.org/r_test/r-bayespiecewiseicar/badges/platforms.svg
badge
https://anaconda.org/r_test/r-bayespiecewiseicar/badges/license.svg
badge
https://anaconda.org/r_test/r-bayespiecewiseicar/badges/downloads.svg

© 2025 Anaconda, Inc. All Rights Reserved. (v4.0.7) Legal | Privacy Policy