Hierarchical Bayes Small Area Estimation Model using 'Stan'

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Documentation for package ‘hbsaems’ version 0.1.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

adjacency_matrix_car	Adjacency Matrix for Conditional Autoregressive (CAR)
data_betalogitnorm	Simulation Data for Beta Logit Normal Model
data_binlogitnorm	Simulated Binomial–Logit-Normal data (area-level)
data_fhnorm	Simulated Fay-Herriot Normal Data (Area-Level)
data_lnln	Simulation Data for Lognormal-Lognormal Model
hbcc	hbcc : Hierarchical Bayesian Convergence Checks
hbm	hbm : Hierarchical Bayesian Small Area Models
hbmc	hbmc: Check Model Goodness of Fit and Prior Sensitivity
hbm_betalogitnorm	Small Area Estimation using Hierarchical Bayesian under Beta Distribution
hbm_binlogitnorm	Small Area Estimation using Hierarchical Bayesian under Logit-Normal Model
hbm_lnln	Small Area Estimation using Hierarchical Bayesian under Lognormal Distribution
hbpc	hbpc : Hierarchical Bayesian Prior Predictive Checking
hbsae	hbsae : Hierarchical Bayesian Small Area Estimation
print.hbcc_results	Print a summary for a convergence check
print.hbmc_results	Print a summary for a model goodness of fit and prior sensitivity
print.hbmfit	Print a summary for a fitted model represented by a hbmfit object
print.hbpc_results	Print a summary for a prior predictive check
print.hbsae_results	Print a summary for a prediction result
run_sae_app	Launch the Shiny App for Small Area Estimation using Hierarchical Bayesian
spatial_weight_sar	Spatial Weight for Simultaneous Autoregressive (SAR)
summary.hbcc_results	Create a summary of a convergence check
summary.hbmc_results	Create a summary of a model goodness of fit and prior sensitivity
summary.hbmfit	Create a summary of a fitted model represented by a hbmfit object
summary.hbpc_results	Create a summary of a prior predictive check
summary.hbsae_results	Create a summary of a prediction result
update_hbm	update_hbm : Update a Hierarchical Bayesian Model (hbm) object