DIC
(Package: ramps) :
Deviance Information Criterion
Calculates the Deviance Information Criterion (DIC) for comparisons of georamps model fits.
● Data Source:
CranContrib
● Keywords: models
● Alias: DIC, DIC.ramps
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param
(Package: ramps) :
Initialization of georamps Model Parameters
Function used in conjunction with ramps.control to specify the initial values and prior distributions used in calls to georamps.
● Data Source:
CranContrib
● Keywords: models
● Alias: param
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corRExpwr2
(Package: ramps) :
Non-Separable Powered Exponential Spatio-Temporal Correlation Structure
This function is a constructor for the 'corRExpwr2' class, representing a non-separable spatial correlation structure. Letting rs denote the spatial range, ps the spatial shape, rt the temporal range, pt the temporal shape, and lambda the space-time interaction, the correlation between two observations a distance d apart in space and t in time is exp(-(d/rs)^ps - (t/rt)^pt - lambda * (d/rs)^ps * (t/rt)^pt).
● Data Source:
CranContrib
● Keywords: models
● Alias: corRExpwr2
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window
(Package: ramps) :
Subsetting of MCMC Sampler Results
Post-processing function to subset the MCMC iterations in georamps or predict.ramps results.
● Data Source:
CranContrib
● Keywords: models
● Alias: window.predict.ramps, window.ramps
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predict.ramps
(Package: ramps) :
Prediction Method for georamps Model Fits
Obtains prediction of main effects plus spatial variability from a georamps model fit.
● Data Source:
CranContrib
● Keywords: models
● Alias: predict.ramps
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corRClasses
(Package: ramps) :
Spatial Correlation Structure Classes
Standard classes of spatial correlation structures available for the georamps function.
● Data Source:
CranContrib
● Keywords: models
● Alias: corRClasses
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summary.ramps
(Package: ramps) :
Posterior Summaries of georamps Model Fits
Posterior summaries of georamps model parameters.
● Data Source:
CranContrib
● Keywords: models
● Alias: summary.ramps
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corRGneit
(Package: ramps) :
Gneiting Spatial Correlation Structure
This function is a constructor for the 'corRGneit' class, representing the Gneiting approximation to the Gaussian correlation structure. Letting r denote the range, the correlation between two observations a distance d < r / s apart is (1 + 8 * s * x + 25 * (s * x)^2 + 32 * (s * x)^3) * (1 - s * x)^8, where s = 0.301187465825. If d >= r / s the correlation is zero.
● Data Source:
CranContrib
● Keywords: models
● Alias: corRGneit
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corRCauchy
(Package: ramps) :
Cauchy Spatial Correlation Structure
This function is a constructor for the 'corRCauchy' class, representing a Cauchy (rational quadratic) spatial correlation structure. Letting r denote the range, the correlation between two observations a distance d apart is 1/(1+(d/r)^2).
● Data Source:
CranContrib
● Keywords: models
● Alias: corRCauchy
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corRMatern
(Package: ramps) :
Matern Spatial Correlation Structure
This function is a constructor for the 'corRMatern' class, representing a Matern spatial correlation structure. Letting r denote the range, and s the scale, the correlation between two observations a distance d apart is 1/(2^(s-1)*gamma(s))*(d/r)^s*besselK(d/r, s).
● Data Source:
CranContrib
● Keywords: models
● Alias: corRMatern
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