spark.ai: Fitting the count-based spatial model using average...

In xzhoulab/SPARK: Spatial Pattern Recognition via Kernels

Fitting the count-based spatial model using average information algorithm Only for Poisson-based spatial model

Description

Fitting the count-based spatial model using average information algorithm Only for Poisson-based spatial model

Usage

spark.ai(
  model0,
  num_vc,
  tau = rep(0.1, num_vc + 1),
  fixtau = rep(0, num_vc + 1),
  maxiter = 500,
  tol = 1e-05,
  verbose = FALSE
)

Arguments

model0	The initial model fitted by glm function
num_vc	The number of random variables
tau	Variance components parameters
fixtau	The parameter to be optimized
maxiter	Iteration
tol	Tolerance
verbose	Output fitting information

xzhoulab/SPARK documentation built on Nov. 20, 2022, 2:54 p.m.