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.

Author
Antonio 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 publication
2015-12-12 09:49:54
Maintainer
David Molina <dmolinam@ugr.es>
License
GPL (>= 2)
Version
0.2.1

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