survspatNS: survspatNS function

Description Usage Arguments Value References See Also

Description

A function to perform maximun likelihood inference for non-spatial survival data.

Usage

1

Arguments

formula

the model formula in a format compatible with the function flexsurvreg from the flexsurv package

data

a SpatialPointsDataFrame object containing the survival data as one of the columns

dist

choice of distribution function for baseline hazard. Current options are: exponentialHaz, weibullHaz, gompertzHaz, makehamHaz, tpowHaz

control

additional control parameters, see ?inference.control

Value

an object inheriting class 'mcmcspatsurv' for which there exist methods for printing, summarising and making inference from.

References

  1. Benjamin M. Taylor. Auxiliary Variable Markov Chain Monte Carlo for Spatial Survival and Geostatistical Models. Benjamin M. Taylor. Submitted. http://arxiv.org/abs/1501.01665

See Also

tpowHaz, exponentialHaz, gompertzHaz, makehamHaz, weibullHaz, covmodel, linkExponentialCovFct, SpikedExponentialCovFct, mcmcpars, mcmcPriors, inference.control



Search within the spatsurv package
Search all R packages, documentation and source code

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.