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sampling (version 2.11)
Survey Sampling
Description
Functions to draw random samples using different sampling schemes are available. Functions are also provided to obtain (generalized) calibration weights, different estimators, as well some variance estimators.
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Install
install.packages('sampling')
Monthly Downloads
6,714
Version
2.11
License
GPL (>= 2)
Maintainer
Alina Matei
Last Published
July 10th, 2025
Functions in sampling (2.11)
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UPrandompivotal
Random pivotal sampling
checkcalibration
Check calibration
balancedtwostage
Balanced two-stage sampling
UPrandomsystematic
Random systematic sampling
calib
g-weights of the calibration estimator
UPsystematic
Systematic sampling
calibev
Calibration estimator and its variance estimation
balancedstratification
Balanced stratification
balancedcluster
Balanced cluster
UPsystematicpi2
Joint inclusion probabilities for systematic sampling
cleanstrata
Clean strata
belgianmunicipalities
The Belgian municipalities population
UPtillepi2
Joint inclusion probabilties for Tille sampling
gencalib
g-weights of the generalized calibration estimator
disjunctive
Disjunctive combination
landingcube
Landing phase for the cube method
inclusionprobastrata
Inclusion probabilities for a stratified design
postest
Poststratified estimator
fastflightcube
Fast flight phase for the cube method
UPtille
Tille sampling
mstage
Multistage sampling
cluster
Cluster sampling
getdata
Get data
inclusionprobabilities
Inclusion probabilities
rmodel
Response probability using logistic regression
rhg_strata
Response homogeneity groups for a stratified sampling
regest
Regression estimator
rhg
Response homogeneity groups
srswor1
Selection-rejection method
varest
Variance estimation using the Deville's method
regest_strata
Regression estimator for a stratified design
ratioest_strata
Ratio estimator for a stratified design
ratioest
Ratio estimator
vartaylor_ratio
Taylor-series linearization variance estimation of a ratio
strata
Stratified sampling
swissmunicipalities
The Swiss municipalities population
rec99
The 1999 census data
sampling-internal
Internal sampling Functions
samplecube
Sample cube method
varHT
Variance estimators of the Horvitz-Thompson estimator
poststrata
Postratification
writesample
All possible samples of fixed size
srswor
Simple random sampling without replacement
srswr
Simple random sampling with replacement
UPmidzunopi2
Joint inclusion probabilities for Midzuno sampling
UPminimalsupport
Minimal support sampling
HTestimator
The Horvitz-Thompson estimator
Hajekestimator
The Hajek estimator
UPmaxentropy
Maximum entropy sampling
HTstrata
The Horvitz-Thompson estimator for a stratified design
UPbrewer
Brewer sampling
Hajekstrata
The Hajek estimator for a stratified design
MU284
The MU284 population
UPmidzuno
Midzuno sampling
UPmultinomial
Multinomial sampling
UPsampfordpi2
Joint inclusion probabilities for Sampford sampling
UPpoisson
Poisson sampling
UPsampford
Sampford sampling
UPopips
Order pips sampling
UPpivotal
Pivotal sampling