survspatNS

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

Bayesian inference for parametric proportional hazards spatial
survival models; flexible spatial survival models. See Benjamin M. Taylor, Barry S. Rowlingson (2017) <doi:10.18637/jss.v077.i04>.

Benjamin Taylor

spatsurv

Bayesian Spatial Survival Analysis with Parametric Proportional
Hazards Models

survspatNS function

<dl><dt>formula</dt>
<dd>the model formula in a format compatible with the function flexsurvreg from the flexsurv package</dd>
<dt>data</dt>
<dd>a SpatialPointsDataFrame object containing the survival data as one of the columns</dd>
<dt>dist</dt>
<dd>choice of distribution function for baseline hazard. Current options are: exponentialHaz, weibullHaz, gompertzHaz, makehamHaz, tpowHaz</dd>
<dt>control</dt>
<dd>additional control parameters, see ?inference.control</dd></dl>

Arguments

survspatNS function — survspatNS

<dl>

<dt>formula</dt>
<dd>the model formula in a format compatible with the function flexsurvreg from the flexsurv package</dd>


<dt>data</dt>
<dd>a SpatialPointsDataFrame object containing the survival data as one of the columns</dd>


<dt>dist</dt>
<dd>choice of distribution function for baseline hazard. Current options are: exponentialHaz, weibullHaz, gompertzHaz, makehamHaz, tpowHaz</dd>


<dt>control</dt>
<dd>additional control parameters, see ?inference.control</dd>

</dl>

survspatNS: survspatNS function

Description

Usage

Value

Arguments

References

See Also