This package provides a variety of functions to analyze and model geostatistical count data with generalized linear spatial models, including 1) simulate and visualize the data; 2) posterior sampling with robust MCMC algorithms (in serial or parallel way); 3) perform prediction for unsampled locations; 4) conduct Bayesian model checking procedure to evaluate the goodness of fitting; 5) conduct transformed residual checking procedure. In the package, seamlessly embedded C++ programs and parallel computing techniques are implemented to speed up the computing processes.
|Date of publication||2015-01-27 08:12:07|
|Maintainer||Liang Jing <firstname.lastname@example.org>|
|License||GPL (>= 2)|
baseline.dist: Generate Distance Samples to Build Baseline Distribution
BMCT: Perform Bayesian Model Checking
cdfU: Approximate the CDF Value from Reference Samples
cutChain: Modify Markov Chains with Burn-in and Thining
d.base: Data Set of Baseline Samples
e2dist: Calculate Distances between Transformed Residuals and...
Earthquakes: Data Set of Earthquakes
findMode: Estimate Mode of the Posterior Samples
loc2U: Calculate the Distance Matrix among Given Locations
loc2U_R: Calculate the Distance Matrix among Given Locations
locCircle: Simulate Circlular Locations
locGrid: Simulate Locations on Grid
locSquad: Simulate Squared Locations
locUloc: Calculate the Distance Matrix Between Observed and Predicting...
locUloc_R: Calculate the Distance Matrix Between Observed and Predicting...
MCMCinput: Settings for the MCMC Algorithm
mixChain: Mix Parallel Markov Chains
plotACF: Auto-correlation Plot for Latent Variables
plot_baseline: Plot Baseline Samples
plotData: Plot Geostatistical Data
plot_etran: Plot Transformed Residuals
plot_pRPS: Plot Observed vs. Reference Diagnostic Statistics
plotTexas: Plot Texas Counties
pOne: Calculate One-side P-value
predY: Predict for Unsampled Locations
pRPS: Calculate P-value and RPS
repYeb: Generate Replicated Data with Estimated Parameters
repYpost: Generate Replicated Data with Posterior Samples of Latent...
Rhizoc: Rhizoc Data
rhoMatern: Matern Correlation Function
rhoPowerExp: Powered Exponential Correlation Function
rhoSph: Spherical Correlation Function
Rongelap: Data Set of Rongelap Island
runMCMC: Perform Robust MCMC Algorithms for GLSM
runMCMC_: Internal Function for Robust MCMC Algorithms
runMCMCpartialPois_: Internal Function for Robust MCMC Algorithms with Partial...
runMCMC.sf: Perform Robust MCMC Algorithms for GLSM in Parallel
simData: Simulate Data Set from Generalized Linear Spatial Model on...
TexasCounty.boundary: Data Set of Texas County Boundries
TexasCounty.center: Data Set of Texas County Centers
TexasCounty.population: Data Set of Texas County Population
tranR: Calculate Transformed Residuals for Observed Data
U2Z: Convert Distance Matrix to Correlation Matrix
unifLoc: Scale Locations into A Unit Square
Weed: Weed Data