Small-Area-Estimation Unit/Area Models and Methods for Estimation in R
Helper function of pixelPopToArea
Aggregate populations to the specified areal level
Aggregate estimators from different surveys.
Benchmark posterior draws to national estimates
Calibrate the point level totals so their sum matches the regional tot...
Map region names to a common set.
Plot heatmap comparing pairwise posterior exceedence probabilities for...
Expit transformation
Adjust direct estimates and their associated variances
Extract adjacency matrix from the map
Determines which administrative areas contain the given points
Reformat full birth records into person-month format
Aggregate person-month data into counts and totals by groups.
Extract posterior summaries of random effects
Obtain the Horvitz-Thompson direct estimates and standard errors using...
Obtain the Horvitz-Thompson direct estimates and standard errors using...
Extract smoothed estimates.
Plot maps with uncertainty hatching.
New random IID models for m-year to period random effects
New random IID models for m-year to period random effects
Logit transformation
Calculate the mean of a distribution whose logit is Gaussian
Generating pixellated populations, and population frames
Mapping estimates for svysae object
Plot region-level variables on a map
Map GPS points to polygon regions
Plot projection output.
Generate a population frame of a similar format to poppa argument of `...
Print method for the smoothing models.
Print method for the smoothing models from smoothSurvey.
Print method for the combined projection output.
Map projection for Kenya
Calculate and plot posterior densities of the projected estimates
Simulate spatial and temporal random effects
New random walk 1 and 2 models for m-year to period random effects
New random walk 1 and 2 models for m-year to period random effects
Set thresholds of population density for urbanicity classifications wi...
Simulate hyperpriors from an GMRF
Simulate populations and areal prevalences
Internal functions for population simulation
Simulate from the SPDE spatial model
Small area estimation via basic area level model
Cluster-level space-time smoothing models for mortality rates
Smoothed direct estimates for mortality rates
Fit space-time smoothing models for a generic outcome from complex sur...
Smooth via basic unit level model
New Type I to IV space time interaction models for m-year to period ra...
New Type I to IV space time interaction models for m-year to period ra...
Summary method for the smoothing models.
Summary method for the smoothing model and output from smoothSurvey.
Summary method for the combined projection output. This function is th...
SUMMER package documentation.
Discrete-color maps based on the True Classification Probabilities
Provides methods for spatial and spatio-temporal smoothing of demographic and health indicators using survey data, with particular focus on estimating and projecting under-five mortality rates, described in Mercer et al. (2015) <doi:10.1214/15-AOAS872>, Li et al. (2019) <doi:10.1371/journal.pone.0210645>, Wu et al. (DHS Spatial Analysis Reports No. 21, 2021), and Li et al. (2023) <arXiv:2007.05117>.
Useful links