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