Spatial Logistic Gaussian Process for Field Density Estimation

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Documentation for package ‘SLGP’ version 1.1.0

• DESCRIPTION file
• User guides, package vignettes and other documentation

Help Pages

SLGP-package	SLGP: A package for spatially dependent probability distributions
coef-method	Extract the coefficient draws of an SLGP model
formula-method	Model formula of an SLGP object
nobs-method	Number of observations used to fit an SLGP model
plot-method	Plot the estimated density field of an SLGP model
predict-method	Predict from a fitted SLGP model
predictSLGP_cdf	Predict cumulative distribution values at new locations using a SLGP model
predictSLGP_moments	Predict conditional moments
predictSLGP_newNode	Predict densities at new covariate locations using a given SLGP model
predictSLGP_quantiles	Predict conditional quantiles
print-method	Print a brief description of an SLGP model
print.summary.SLGP	Print method for SLGP summaries
retrainSLGP	Refit an SLGP model
sampleSLGP	Draw conditional samples
show-method	Print a brief description of an SLGP model
simulate-method	Simulate responses from a fitted SLGP model
SLGP	The SLGP S4 Class: Spatial Logistic Gaussian Process Model
slgp	Fit a Spatial Logistic Gaussian Process model
SLGP-class	The SLGP S4 Class: Spatial Logistic Gaussian Process Model
summary-method	Summarise a fitted SLGP model
update-method	Re-fit an SLGP model under a new method or with new data