Package: BayesSAE
Type: Package
Title: Bayesian Analysis of Small Area Estimation
Version: 1.0-2
Date: 2018-04-18
Authors@R: c(person("Chengchun Shi", "Developer", role=c("aut", "cre"), email=
"cshi4@ncsu.edu"))
Description: Provides a variety of methods from Rao (2003, ISBN:0-471-41374-7)
and some other research articles to deal with several specific small area area-
level models in Bayesian framework. Models provided range from the basic Fay-Herriot model to
its improvement such as You-Chapman models, unmatched models, spatial models and so on.
Different types of priors for specific parameters could be chosen to obtain MCMC posterior
draws. The main sampling function is written in C with GSL lab so as to facilitate the
computation. Model internal checking and model comparison criteria are also involved.
Depends: Formula, coda, lattice
License: GPL-2
Packaged: 2018-04-20 14:43:17 UTC; spring
Author: Chengchun Shi Developer [aut, cre]
Maintainer: Chengchun Shi Developer <cshi4@ncsu.edu>
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2018-04-20 14:49:18 UTC

Title: Bayesian Analysis of Area Level Models
Description: This package provides a variety of functions to deal with several specific small area area-level
models in Bayesian context. Models provided range from the basic Fay-Herriot model to its improvement such as
You-Chapman models, unmatched models, spatial models and so on. Different types of priors for specific
parameters could be chosen to obtain MCMC posterior draws. The main sampling function is written in C so as to
facilitate the computation. Model internal checking and model comparison criteria are also involved.

Title: Bayesian Spatial Split Population Survival Model
Authors@R: c(person(given = "Brandon L.",
Description: Parametric spatial split-population (SP) survival models for clustered
event processes. The models account for structural and spatial heterogeneity among
“at risk” and “immune” populations, and incorporate time-varying covariates.
This package currently implements Weibull, Exponential and Log-logistic forms for
the duration component. It also includes functions for a series of diagnostic
tests and plots to easily visualize convergence and spatial effects. Users can
create their own spatial weights matrix based on their units and adjacencies of
interest, making the use of these models flexible and broadly applicable to a
variety of research areas. Joo et al. (2020) <https://github.com/Nicolas-Schmidt/BayesSPsurv/blob/master/man/figures/SPcure.pdf> describe
the estimators included in this package.
Imports: MCMCpack, FastGP, stats, Rcpp (>= 1.0.3), coda, dplyr,
Packaged: 2020-09-24 20:36:37 UTC; Nicolás Schmidt