Package: jointCalib 0.1.2

Maciej Beręsewicz

jointCalib: A Joint Calibration of Totals and Quantiles

A small package containing functions to perform a joint calibration of totals and quantiles. The calibration for totals is based on Deville and Särndal (1992) <doi:10.1080/01621459.1992.10475217>, the calibration for quantiles is based on Harms and Duchesne (2006) <https://www150.statcan.gc.ca/n1/en/catalogue/12-001-X20060019255>. The package uses standard calibration via the 'survey', 'sampling' or 'laeken' packages. In addition, entropy balancing via the 'ebal' package and empirical likelihood based on codes from Wu (2005) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2005002/article/9051-eng.pdf> can be used. See the paper by Beręsewicz and Szymkowiak (2023) for details <arxiv:2308.13281>. The package also includes functions to reweight the control group to the treatment reference distribution and to balance the covariate distribution using the covariate balancing propensity score via the 'CBPS' package for binary treatment observational studies.

Authors:Maciej Beręsewicz [aut, cre]

jointCalib_0.1.2.tar.gz
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jointCalib.pdf |jointCalib.html
jointCalib/json (API)
NEWS

# Install 'jointCalib' in R:
install.packages('jointCalib', repos = c('https://ncn-foreigners.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/ncn-foreigners/jointcalib/issues

On CRAN:

calibrationcausal-inferenceprobability-samplessamplingsurveysurvey-methodologyweighting

6 exports 4 stars 1.25 score 33 dependencies 8 scripts 169 downloads

Last updated 11 months agofrom:c8492019a9. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 05 2024
R-4.5-winOKSep 05 2024
R-4.5-linuxOKSep 05 2024
R-4.4-winOKSep 05 2024
R-4.4-macOKSep 05 2024
R-4.3-winOKSep 05 2024
R-4.3-macOKSep 05 2024

Exports:calib_elcontrol_calibjoint_calibjoint_calib_attjoint_calib_cbpsjoint_calib_create_matrix

Dependencies:backportsbootCBPSchkclicodetoolsDBIebalforeachglmnetglueiteratorslaekenlatticelifecyclelpSolveMASSMatchItmathjaxrMatrixminqamitoolsnnetnumDerivRcppRcppArmadilloRcppEigenRcppProgressrlangsamplingshapesurveysurvival

Balancing distributions for observational studies

Rendered fromd_causal.Rmdusingknitr::rmarkdownon Sep 05 2024.

Last update: 2023-10-11
Started: 2023-10-11

Calibration and inverse probability weighting for non-probability samples

Rendered fromc_nonprob.Rmdusingknitr::rmarkdownon Sep 05 2024.

Last update: 2023-10-11
Started: 2023-10-11

Calibration of quantiles and a joint calibration of totals and quanitles for surveys

Rendered fromb_survey.Rmdusingknitr::rmarkdownon Sep 05 2024.

Last update: 2023-10-11
Started: 2023-10-11

Joint calibration estimators for totals and quantiles

Rendered froma_theory.Rmdusingknitr::rmarkdownon Sep 05 2024.

Last update: 2023-10-11
Started: 2023-10-11