survspatNS: survspatNS function

In bentaylor1/spatsurv: Bayesian Spatial Survival Analysis with Parametric Proportional Hazards Models

Description

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

Usage

survspatNS(formula, data, dist, control = inference.control())

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

bentaylor1/spatsurv documentation built on May 12, 2019, 3:02 p.m.