survspatNS: survspatNS function

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

survspatNS function

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 and Barry S. Rowlingson (2017). spatsurv: An R Package for Bayesian Inference with Spatial Survival Models. Journal of Statistical Software, 77(4), 1-32, doi:10.18637/jss.v077.i04.

See Also

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

spatsurv documentation built on Oct. 19, 2023, 9:07 a.m.