summary method for the class "Bayes.PrevMap" that computes the posterior mean, median, mode and high posterior density intervals using samples from Bayesian fits.
● Data Source:
CranContrib
● Keywords:
● Alias: summary.Bayes.PrevMap
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plot.pred.PrevMap displays predictions obtained from spatial.pred.linear.MLE, spatial.pred.linear.Bayes,spatial.pred.binomial.MCML, spatial.pred.binomial.Bayes and spatial.pred.poisson.MCML.
● Data Source:
CranContrib
● Keywords:
● Alias: plot.pred.PrevMap
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spatial.pred.binomial.Bayes
(Package: PrevMap) :
Bayesian spatial prediction for the binomial logistic and binary probit models
This function performs Bayesian spatial prediction for the binomial logistic and binary probit models.
● Data Source:
CranContrib
● Keywords:
● Alias: spatial.pred.binomial.Bayes
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plot.profile.PrevMap
(Package: PrevMap) :
Plot of the profile log-likelihood for the covariance parameters of the Matern function
This function displays a plot of the profile log-likelihood that is computed by the function loglik.linear.model.
● Data Source:
CranContrib
● Keywords:
● Alias: plot.profile.PrevMap
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spatial.pred.linear.Bayes
(Package: PrevMap) :
Bayesian spatial predictions for the geostatistical Linear Gaussian model
This function performs Bayesian prediction for a geostatistical linear Gaussian model.
● Data Source:
CranContrib
● Keywords:
● Alias: spatial.pred.linear.Bayes
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Laplace.sampling.lr
(Package: PrevMap) :
Langevin-Hastings MCMC for conditional simulation (low-rank approximation)
This function simulates from the conditional distribution of the random effects of binomial and Poisson models.
● Data Source:
CranContrib
● Keywords:
● Alias: Laplace.sampling.lr
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spatial.pred.poisson.MCML
(Package: PrevMap) :
Spatial predictions for the Poisson model with log link function, using plug-in of MCML estimates
This function performs spatial prediction, fixing the model parameters at the Monte Carlo maximum likelihood estimates of a geostatistical Poisson model with log link function.
● Data Source:
CranContrib
● Keywords:
● Alias: spatial.pred.poisson.MCML
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dens.plot
(Package: PrevMap) :
Density plot for posterior samples
Plots the autocorrelogram for the posterior samples of the model parameters and spatial random effects.
● Data Source:
CranContrib
● Keywords:
● Alias: dens.plot
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This function is used to define priors for the model parameters of a Bayesian geostatistical model.
● Data Source:
CranContrib
● Keywords:
● Alias: control.prior
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linear.model.Bayes
(Package: PrevMap) :
Bayesian estimation for the geostatistical linear Gaussian model
This function performs Bayesian estimation for the geostatistical linear Gaussian model.
● Data Source:
CranContrib
● Keywords:
● Alias: linear.model.Bayes
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providing 
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