Frames2: Estimation in Dual Frame Surveys

Point and interval estimation in dual frame surveys. In contrast to classic sampling theory, where only one sampling frame is considered, dual frame methodology assumes that there are two frames available for sampling and that, overall, they cover the entire target population. Then, two probability samples (one from each frame) are drawn and information collected is suitably combined to get estimators of the parameter of interest.

AuthorAntonio Arcos <arcos@ugr.es>, Maria del Mar Rueda <mrueda@ugr.es>, Maria Giovanna Ranalli <giovanna.ranalli@stat.unipg.it> and David Molina <dmolinam@ugr.es>
Date of publication2015-12-12 09:49:54
MaintainerDavid Molina <dmolinam@ugr.es>
LicenseGPL (>= 2)
Version0.2.1

View on CRAN

Man pages

BKA: Bankier-Kalton-Anderson estimator

CalDF: DF calibration estimator

CalSF: SF calibration estimator

Compare: Summary of estimators

CovHT: Covariance estimator between two Horvitz - Thompson...

Dat: Joint sample database

DatA: Database of household expenses for frame A

DatB: Database of household expenses for frame B

DatMA: Database of students' program choice for frame A

DatMB: Database of students' program choice for frame B

DatPopM: Database of auxiliary information for the whole population of...

Domains: Domains

FB: Fuller-Burmeister estimator

Frame-internal: Internal Frame Functions

Hartley: Hartley estimator

HT: Horvitz - Thompson estimator

JackBKA: Confidence intervals for Bankier-Kalton-Anderson estimator...

JackCalDF: Confidence intervals for dual frame calibration estimator...

JackCalSF: Confidence intervals for SF calibration estimator based on...

JackFB: Confidence intervals for Fuller-Burmeister estimator based on...

JackHartley: Confidence intervals for Hartley estimator based on jackknife...

JackMLCDF: Confidence intervals for MLCDF estimator based on jackknife...

JackMLCDW: Confidence intervals for MLCDW estimator based on jackknife...

JackMLCSW: Confidence intervals for MLCSW estimator based on jackknife...

JackMLDF: Confidence intervals for MLDF estimator based on jackknife...

JackMLDW: Confidence intervals for MLDW estimator based on jackknife...

JackMLSW: Confidence intervals for MLSW estimator based on jackknife...

JackPEL: Confidence intervals for the pseudo empirical likelihood...

JackPML: Confidence intervals for the pseudo maximum likelihood...

JackSFRR: Confidence intervals for raking ratio estimator based on...

MLCDF: Multinomial logistic calibration estimator under dual frame...

MLCDW: Multinomial logistic calibration estimator under dual frame...

MLCSW: Multinomial logistic calibration estimator under single frame...

MLDF: Multinomial logistic estimator under dual frame approach with...

MLDW: Multinomial logistic estimator under dual frame approach with...

MLSW: Multinomial logistic estimator under single frame approach...

PEL: Pseudo empirical likelihood estimator

PiklA: Matrix of inclusion probabilities for units selected in...

PiklB: Matrix of inclusion probabilities for units selected in...

PML: Pseudo Maximum Likelihood estimator

SFRR: Raking ratio estimator

VarHT: Variance estimator of Horvitz - Thompson estimator

WeightsCalDF: g-weights for the dual frame calibration estimator

WeightsCalSF: g-weights for the SF calibration estimator

Files in this package

Frames2
Frames2/inst
Frames2/inst/CITATION
Frames2/inst/doc
Frames2/inst/doc/estimation.R
Frames2/inst/doc/formatting.data.R
Frames2/inst/doc/estimation.pdf
Frames2/inst/doc/estimation.Rnw
Frames2/inst/doc/formatting.data.pdf
Frames2/inst/doc/formatting.data.Rnw
Frames2/NAMESPACE
Frames2/data
Frames2/data/DatB.txt.gz
Frames2/data/DatPopM.txt.gz
Frames2/data/PiklB.rda
Frames2/data/Dat.txt.gz
Frames2/data/DatMB.txt.gz
Frames2/data/PiklA.rda
Frames2/data/DatA.txt.gz
Frames2/data/DatMA.txt.gz
Frames2/R
Frames2/R/CalSF.R Frames2/R/JackHartley.R Frames2/R/VarHT.R Frames2/R/JackMLCSW.R Frames2/R/DatA.R Frames2/R/MLSW.R Frames2/R/Hartley.R Frames2/R/SFRR.R Frames2/R/JackBKA.R Frames2/R/JackCalDF.R Frames2/R/JackFB.R Frames2/R/DatB.R Frames2/R/MLCDW.R Frames2/R/JackMLCDF.R Frames2/R/FB.R Frames2/R/CalDF.R Frames2/R/DatPopM.R Frames2/R/JackPML.R Frames2/R/PiklA.R Frames2/R/JackMLSW.R Frames2/R/Dat.R Frames2/R/PiklB.R Frames2/R/JackMLDW.R Frames2/R/PML.R Frames2/R/BKA.R Frames2/R/WeightsCalDF.R Frames2/R/JackMLCDW.R Frames2/R/HT.R Frames2/R/internal.R Frames2/R/CovHT.R Frames2/R/DatMB.R Frames2/R/MLCDF.R Frames2/R/Domains.R Frames2/R/MLDF.R Frames2/R/JackPEL.R Frames2/R/WeightsCalSF.R Frames2/R/JackSFRR.R Frames2/R/PEL.R Frames2/R/Compare.R Frames2/R/DatMA.R Frames2/R/JackCalSF.R Frames2/R/MLDW.R Frames2/R/JackMLDF.R Frames2/R/MLCSW.R
Frames2/vignettes
Frames2/vignettes/estimation.Rnw
Frames2/vignettes/formatting.data.Rnw
Frames2/vignettes/Fig1.jpg
Frames2/MD5
Frames2/build
Frames2/build/vignette.rds
Frames2/DESCRIPTION
Frames2/man
Frames2/man/JackHartley.Rd Frames2/man/JackMLCSW.Rd Frames2/man/HT.Rd Frames2/man/Frame-internal.Rd Frames2/man/JackCalSF.Rd Frames2/man/CalDF.Rd Frames2/man/FB.Rd Frames2/man/Compare.Rd Frames2/man/SFRR.Rd Frames2/man/JackPEL.Rd Frames2/man/PEL.Rd Frames2/man/PiklB.Rd Frames2/man/JackMLSW.Rd Frames2/man/DatA.Rd Frames2/man/JackSFRR.Rd Frames2/man/JackFB.Rd Frames2/man/JackMLCDW.Rd Frames2/man/Domains.Rd Frames2/man/WeightsCalDF.Rd Frames2/man/MLDF.Rd Frames2/man/DatMA.Rd Frames2/man/Hartley.Rd Frames2/man/JackBKA.Rd Frames2/man/MLDW.Rd Frames2/man/CovHT.Rd Frames2/man/DatPopM.Rd Frames2/man/BKA.Rd Frames2/man/JackMLCDF.Rd Frames2/man/DatB.Rd Frames2/man/MLCSW.Rd Frames2/man/WeightsCalSF.Rd Frames2/man/JackMLDF.Rd Frames2/man/DatMB.Rd Frames2/man/MLSW.Rd Frames2/man/MLCDW.Rd Frames2/man/VarHT.Rd Frames2/man/JackPML.Rd Frames2/man/MLCDF.Rd Frames2/man/JackCalDF.Rd Frames2/man/PiklA.Rd Frames2/man/JackMLDW.Rd Frames2/man/PML.Rd Frames2/man/CalSF.Rd Frames2/man/Dat.Rd

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