A function to perform maximun likelihood inference for non-spatial survival data.
survspatNS(formula, data, dist, control = inference.control())
the model formula in a format compatible with the function flexsurvreg from the flexsurv package
a SpatialPointsDataFrame object containing the survival data as one of the columns
choice of distribution function for baseline hazard. Current options are: exponentialHaz, weibullHaz, gompertzHaz, makehamHaz, tpowHaz
additional control parameters, see ?inference.control
an object inheriting class 'mcmcspatsurv' for which there exist methods for printing, summarising and making inference from.
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.
tpowHaz, exponentialHaz, gompertzHaz, makehamHaz, weibullHaz,
covmodel, linkExponentialCovFct, SpikedExponentialCovFct
,
mcmcpars, mcmcPriors, inference.control