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All functions

GaussProcess()
GaussProcess
arate()
Acceptance rate
calcSpatialCov()
calcSpatialCov
calcSpatialCov(<list>)
Currently assumes an exponential spatial dependency
calcSpatialCov(<matrix>)
Currently assumes an exponential spatial dependency
distance()
distance
distance12_matrix()
distance12_matrix
distance_matrix()
distance_matrix
gp_mle()
gp_mle
gp_mle2()
gp_mle2
groupid()
groupid
jump-class
define a class for automatically tuning jump distributions
jump()
jump
ldinvgamma()
Log-dinvgamma, based on MCMCpack
lhc()
Latin Hyper Cube
mvjump-class
multivariate version of jump class
mvjump()
mvjump
nderiv()
nderiv
p()
p
p(<jump>)
Extract current jump parameter value for a jump object
p(<mvjump>)
Extract current jump parameter values for a mvjump object
plot(<jump>)
Plot diagnostic history for a jump tuning object
plot(<mvjump>)
Plot diagnostic history for a mvjump tuning object
predict(<GP>)
Predict method for Gaussian Process objects
predict(<density>)
Simple interpolation of a density object to new points
summarize_GP()
summarize_GP
update(<jump>)
Update method for adaptive MCMC jump-tuning objects
update(<mvjump>)
Update method for adaptive MCMC multivariate jump-tuning objects