Log-prior density for the spatial autocorrelation parameter rho

Description

Compute log-prior density for rho

Usage

logprrho(rho)

Arguments

Details

This function computes the log-density of the prior for rho according to logit(rho) ~ N(0, prec=.1). THis is one of the default priors in R-INLA for spatial autocorrelation parameters.

Value

Numerical.

Author(s)

Virgilio G<c3><b3>mez-Rubio <virgilio.gomez@uclm.es>

Examples

rrho<-seq(.01, .99, length.out=100)
plot(rrho, exp(logprrho(rrho)))

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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Type 'demo()' for some demos, 'help()' for on-line help, or
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> library(INLABMA)
Loading required package: parallel
Loading required package: sp
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/INLABMA/logprrho.Rd_%03d_medium.png", width=480, height=480)
> ### Name: logprrho
> ### Title: Log-prior density for the spatial autocorrelation parameter
> ###   'rho'
> ### Aliases: logprrho
> ### Keywords: distribution
> 
> ### ** Examples
> 
> 
> rrho<-seq(.01, .99, length.out=100)
> plot(rrho, exp(logprrho(rrho)))
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>