runMCMCpartialPois_: Internal Function for Robust MCMC Algorithms with Partial...
In geoCount: Analysis and Modeling for Geostatistical Count Data

Description Usage Arguments Details Author(s) See Also

This function is an internal function mainly used by runMCMC to call C++ codes that perform robust MCMC algrothms with partial posterior sampling.

runMCMCpartialPois_(Y_, L_, T_, D_, run_, nmLan_, 
        fam_, famY_, famT_, 
        ifkappa_, scale_, mscale_, sscale_, ascale_, kscale_, 
        alow_, aup_, mini_, sini_, aini_, kini_)

`Y_`	a vector of length n which indicates the response variables
`L_`	a vector of length n; it indicates the time duration during which the Poisson counts are accumulated, or the total number of trials for Binomial response; if 0 is found in the vector, 1 will be used to replace all the values in the vector
`T_`	a n \times 2 matrix which indicates the coordinates of locations
`D_`	a n \times p covariate matrix; the default value "NULL" indicates no covariate
`run_`	the number of iterations
`nmLan_`	the number of internal iterations for latern variables
`fam_`	take the value of `"rhoPowerExp"`, `"rhoMatern"`, or `"rhoSph"` which indicates the powered exponential, Matern, or Spherical correlation function is used
`famY_`	take the value of `"Poisson"` or `"Binomial"` which indicates Poisson or Binomial distribution for response variables
`famT_`	take the value of 1, 2, or 3 which indicates the type of partial posterior sampling: 1 means "mean" diagnostic statistic is used, 2 means "maximum", and 3 means "minimum"; ignored if `partial=FALSE`
`ifkappa_`	take zero or non-zero value which indicates whether κ should be sampled
`scale_`	the tuning parameters for S respectively
`mscale_`	the tuning parameters for β respectively
`sscale_`	the tuning parameters for σ respectively
`ascale_`	the tuning parameters for φ respectively
`kscale_`	the tuning parameters for κ respectively
`alow_`	the lower bound for φ respectively
`aup_`	the upper bound for φ respectively
`mini_`	the initial for β respectively
`sini_`	the initial for σ respectively
`aini_`	the initial for φ respectively
`kini_`	the initial for κ respectively