runMCMC_: Internal Function for Robust MCMC Algorithms

Description Usage Arguments Details Author(s) See Also

Description

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

Usage

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runMCMC_(Y_, L_, T_, D_, run_, nmLan_, fam_, famY_, 
         famSig_, par1_, par2_, ifkappa_, 
         scale_, mscale_, sscale_, ascale_, kscale_, 
         alow_, aup_, mini_, sini_, aini_, kini_)

Arguments

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

famSig_

the prior distribution for σ, the options include "Halft" (positive-truncated t distribution), "InvGamma" (inverse gamma distribution), and "Reciprocal" (reciprocal distribution)

par1_

the parameters for the prior distribution of σ: when priorSigma = "Halft" the first parameter is scale and the second is degree of freedom; when priorSigma = "InvGamma" the first parameter is shape and the second is scale; when priorSigma = "Reciprocal" both parameters are ignored

par2_

the parameters for the prior distribution of σ: when priorSigma = "Halft" the first parameter is scale and the second is degree of freedom; when priorSigma = "InvGamma" the first parameter is shape and the second is scale; when priorSigma = "Reciprocal" both parameters are ignored

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

Details

Check out runMCMC function for details.

Author(s)

Liang Jing ljing918@gmail.com

See Also

runMCMC.


geoCount documentation built on May 2, 2019, 12:38 a.m.

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