Small-Area-Estimation Unit/Area Models and Methods for Estimation in R


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Documentation for package ‘SUMMER’ version 1.4.0

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SUMMER-package SUMMER package documentation.
adjustPopMat Generating pixellated populations, and population frames
aggPixelPreds Helper function of 'pixelPopToArea'
aggPop Aggregate populations to the specified areal level
aggregateSurvey Aggregate estimators from different surveys.
areaPopToArea Aggregate populations to the specified areal level
Benchmark Benchmark posterior draws to national estimates
BRFSS The BRFSS dataset
calibrateByRegion Calibrate the point level totals so their sum matches the regional totals
ChangeRegion Map region names to a common set.
compareEstimates Plot heatmap comparing pairwise posterior exceedence probabilities for svysae object
DemoData Simulated child mortality person-month dataset.
DemoData2 Simulated dataset for prevalence mapping.
DemoMap Uganda Admin-1 region map for illustration purpose
DemoMap2 Kenya Admin-1 region map for illustration purpose
easpaKenya Kenya 2009 Census Frame and Related Datasets
easpaKenyaNeonatal Kenya 2009 Census Frame and Related Datasets
expit Expit transformation
fitGeneric Fit space-time smoothing models for a generic outcome from complex surveys.
fitINLA Smoothed direct estimates for mortality rates
fitINLA2 Cluster-level space-time smoothing models for mortality rates
getAdjusted Adjust direct estimates and their associated variances
getAmat Extract adjacency matrix from the map
getAreaName Determines which administrative areas contain the given points
getBirths Reformat full birth records into person-month format
getCounts Aggregate person-month data into counts and totals by groups.
getDiag Extract posterior summaries of random effects
getDirect Obtain the Horvitz-Thompson direct estimates and standard errors using delta method for a single survey.
getDirectList Obtain the Horvitz-Thompson direct estimates and standard errors using delta method for multiple surveys.
getExpectedNperEA Internal functions for population simulation
getPoppsub Generating pixellated populations, and population frames
getSmoothed Extract smoothed estimates.
getSmoothedDensity Calculate and plot posterior densities of the projected estimates
getSortIndices Internal functions for population simulation
hatchPlot Plot maps with uncertainty hatching.
iid.new New random IID models for m-year to period random effects
iid.new.pc New random IID models for m-year to period random effects
KenData Auxiliary data for Kenya 2014 DHS.
kenyaPopulationData Kenya 2009 Census Frame and Related Datasets
KingCounty Map of King County
logit Logit transformation
logitNormMean Calculate the mean of a distribution whose logit is Gaussian
makePopIntegrationTab Generating pixellated populations, and population frames
MalawiData Auxiliary data for Malawi 2000, 2004, 2010, and 2015 DHS.
MalawiMap Malawi Admin-2 map
mapEstimates Mapping estimates for svysae object
mapPlot Plot region-level variables on a map
mapPoints Map GPS points to polygon regions
pixelPopToArea Aggregate populations to the specified areal level
plot.SUMMERproj Plot projection output.
poppaKenya Kenya 2009 Census Frame and Related Datasets
poppRegionFromPopMat Generate a population frame of a similar format to poppa argument of 'simPopCustom' with a custom set of regions
poppsubKenya Kenya 2009 Census Frame and Related Datasets
print.SUMMERmodel Print method for the smoothing models.
print.SUMMERmodel.svy Print method for the smoothing models from 'smoothSurvey'.
print.SUMMERprojlist Print method for the combined projection output.
projKenya Map projection for Kenya
ridgePlot Calculate and plot posterior densities of the projected estimates
rmultinom1 Internal functions for population simulation
rMyMultinomial Internal functions for population simulation
rMyMultinomialSubarea Internal functions for population simulation
rst Simulate spatial and temporal random effects
rStratifiedMultnomial Internal functions for population simulation
rStratifiedMultnomialBySubarea Internal functions for population simulation
rw.new New random walk 1 and 2 models for m-year to period random effects
rw.new.pc New random walk 1 and 2 models for m-year to period random effects
sampleNMultilevelMultinomial Internal functions for population simulation
sampleNMultilevelMultinomialFixed Internal functions for population simulation
setThresholdsByRegion Set thresholds of population density for urbanicity classifications within each region of the given type
simhyper Simulate hyperpriors from an GMRF
simPop Simulate populations and areal prevalences
simPopCustom Simulate populations and areal prevalences
simPopInternal Internal functions for population simulation
simPopSPDE Simulate populations and areal prevalences
simSPDE Simulate from the SPDE spatial model
smoothArea Small area estimation via basic area level model
smoothCluster Cluster-level space-time smoothing models for mortality rates
smoothDirect Smoothed direct estimates for mortality rates
smoothSurvey Fit space-time smoothing models for a generic outcome from complex surveys.
smoothUnit Smooth via basic unit level model
st.new New Type I to IV space time interaction models for m-year to period random effects
st.new.pc New Type I to IV space time interaction models for m-year to period random effects
summary.SUMMERmodel Summary method for the smoothing models.
summary.SUMMERmodel.svy Summary method for the smoothing model and output from 'smoothSurvey'.
summary.SUMMERprojlist Summary method for the combined projection output. This function is the print method for class 'SUMMERprojlist'.
SUMMER SUMMER package documentation.
tcpPlot Discrete-color maps based on the True Classification Probabilities