derivindepGaussianprior: derivindepGaussianprior function

Description Usage Arguments Value See Also

Description

A function for evaluating the first and second derivatives of the log of an independent Gaussian prior

Usage

1
derivindepGaussianprior(beta = NULL, omega = NULL, eta = NULL, priors)

Arguments

beta

a vector, the parameter beta

omega

a vector, the parameter omega

eta

a vector, the parameter eta

priors

an object of class 'mcmcPrior', see ?mcmcPrior

Value

returns the first and second derivatives of the prior

See Also

survspat, betapriorGauss, omegapriorGauss, etapriorGauss, indepGaussianprior, derivindepGaussianprior


bentaylor1/spatsurv documentation built on May 12, 2019, 3:02 p.m.