proposalVariance_SPDE: proposalVariance_SPDE function
In bentaylor1/spatsurv: Bayesian Spatial Survival Analysis with Parametric Proportional Hazards Models
Description
Usage
Arguments
Value
Description
A function to compute an approximate scaling matrix for the MCMC algorithm. Not intended for general use.
Usage
1
2
proposalVariance_SPDE(X, surv, betahat, omegahat, Yhat, priors, cov.model, u,
control)
Arguments
X
the design matrix, containing covariate information
surv
an object of class Surv
betahat
an estimate of beta
omegahat
an estimate of omega
Yhat
an estimate of Y
priors
the priors
cov.model
the spatial covariance model
u
a vector of pairwise distances
control
a list containg various control parameters for the MCMC and post-processing routines
Value
an estimate of eta and also an approximate scaling matrix for the MCMC
bentaylor1/spatsurv documentation built on May 12, 2019, 3:02 p.m.
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.
Description Usage Arguments Value
Description
A function to compute an approximate scaling matrix for the MCMC algorithm. Not intended for general use.
Usage
1 2 | proposalVariance_SPDE(X, surv, betahat, omegahat, Yhat, priors, cov.model, u,
control)
|
Arguments
X |
the design matrix, containing covariate information |
surv |
an object of class Surv |
betahat |
an estimate of beta |
omegahat |
an estimate of omega |
Yhat |
an estimate of Y |
priors |
the priors |
cov.model |
the spatial covariance model |
u |
a vector of pairwise distances |
control |
a list containg various control parameters for the MCMC and post-processing routines |
Value
an estimate of eta and also an approximate scaling matrix for the MCMC
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.