saeplus_modelsubarea: Small Estimation of a Sub Area Level Model

In SSA-Statistical-Team-Projects/SAEplus: Package for Geospatial Analysis & Small Area Estimation Post-Diagnostics

Small Estimation of a Sub Area Level Model

Description

This function takes as inputs the geospatial census of remote sensing data, a geocoded household survey with welfare aggregates and then estimates the empirical best predictor of the poverty rate.

Usage

saeplus_modelsubarea(
  hhsurvey_dt,
  geopolycensus_dt,
  geopoly_id,
  size_hh,
  geopopvar,
  wgt_vartype,
  weight,
  cons_var,
  pline,
  cand_vars
)

Arguments

hhsurvey_dt	an object of class "sf" and "data.table/data.frame" representing the household unit level data with welfare variable
geopolycensus_dt	an object of class sf, data.table and/or data.frame containing polygon/multipolygon geometries and geospatial indicators
geopoly_id	a string/character variable representing the polygon ID within geopolycensus_dt
size_hh	an integer/numeric for household size variable within the hhsurvey_dt object
geopopvar	a character string for the population count variable name in the geopolycensus_dt
wgt_vartype	a character string representing the weighting type in hhsurvey_dt. The options could be "hh", "pop" i.e. households vs population weights.
weight	a numeric/integer weight variable found within the hhsurvey_dt
cons_var	the dependent variable for small area estimation (typically household per capita consumption)
pline	the national poverty line (ensure the same units as cons_var)
cand_vars	a character vector of candidate explanatory variables to be included in the model selection process
target_id	a character string representing an integer column vector for the admin level at which small area estimates will be computed for the poverty map
ncpu	the number of CPUs for parallelizing the small area estimation algorithm

SSA-Statistical-Team-Projects/SAEplus documentation built on Aug. 24, 2022, 11:26 a.m.