NonSpatialLogLikelihood_or_gradient: NonSpatialLogLikelihood_or_gradient function
In spatsurv: Bayesian Spatial Survival Analysis with Parametric Proportional Hazards Models
View source: R/nonspatial_log_likelihood_and_derivatives.R
NonSpatialLogLikelihood_or_gradient R Documentation
NonSpatialLogLikelihood_or_gradient function
Description
A function to evaluate the log-likelihood of a non-spatial parametric proportional hazards model. Not intended for general use.
Usage
NonSpatialLogLikelihood_or_gradient(
surv,
X,
beta,
omega,
control,
loglikelihood,
gradient
)
Arguments
surv
an object of class Surv
X
the design matrix, containing covariate information
beta
parameter beta
omega
parameter omega
control
a list containg various control parameters for the MCMC and post-processing routines
loglikelihood
logical whether to evaluate the log-likelihood
gradient
logical whether to evaluate the gradient
Value
...
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.
spatsurv documentation built on Oct. 19, 2023, 9:07 a.m.
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View source: R/nonspatial_log_likelihood_and_derivatives.R
| NonSpatialLogLikelihood_or_gradient | R Documentation |
NonSpatialLogLikelihood_or_gradient function
Description
A function to evaluate the log-likelihood of a non-spatial parametric proportional hazards model. Not intended for general use.
Usage
NonSpatialLogLikelihood_or_gradient(
surv,
X,
beta,
omega,
control,
loglikelihood,
gradient
)
Arguments
surv |
an object of class Surv |
X |
the design matrix, containing covariate information |
beta |
parameter beta |
omega |
parameter omega |
control |
a list containg various control parameters for the MCMC and post-processing routines |
loglikelihood |
logical whether to evaluate the log-likelihood |
gradient |
logical whether to evaluate the gradient |
Value
...
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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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