| survspatNS {spatsurv} | R Documentation |
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
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