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:
jointCalib_0.1.2.tar.gz
jointCalib_0.1.2.zip(r-4.5)jointCalib_0.1.2.zip(r-4.4)jointCalib_0.1.2.zip(r-4.3)
jointCalib_0.1.2.tgz(r-4.4-any)jointCalib_0.1.2.tgz(r-4.3-any)
jointCalib_0.1.2.tar.gz(r-4.5-noble)jointCalib_0.1.2.tar.gz(r-4.4-noble)
jointCalib_0.1.2.tgz(r-4.4-emscripten)jointCalib_0.1.2.tgz(r-4.3-emscripten)
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')) |
Bug tracker:https://github.com/ncn-foreigners/jointcalib/issues
Pkgdown site:https://ncn-foreigners.github.io
calibrationcausal-inferenceprobability-samplessamplingsurveysurvey-methodologyweighting
Last updated 1 years agofrom:c8492019a9. Checks:7 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 03 2025 |
| R-4.5-win | OK | Jan 03 2025 |
| R-4.5-linux | OK | Jan 03 2025 |
| R-4.4-win | OK | Jan 03 2025 |
| R-4.4-mac | OK | Jan 03 2025 |
| R-4.3-win | OK | Jan 03 2025 |
| R-4.3-mac | OK | Jan 03 2025 |
Exports:calib_elcontrol_calibjoint_calibjoint_calib_attjoint_calib_cbpsjoint_calib_create_matrix
Dependencies:backportsbootCBPSchkclicodetoolsDBIebalforeachglmnetglueiteratorslaekenlatticelifecyclelpSolveMASSMatchItmathjaxrMatrixminqamitoolsnnetnumDerivRcppRcppArmadilloRcppEigenRcppProgressrlangsamplingshapesurveysurvival
Balancing distributions for observational studies
Rendered fromd_causal.Rmdusingknitr::rmarkdownon Jan 03 2025.Last update: 2023-10-11
Started: 2023-10-11
Calibration and inverse probability weighting for non-probability samples
Rendered fromc_nonprob.Rmdusingknitr::rmarkdownon Jan 03 2025.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 Jan 03 2025.Last update: 2023-10-11
Started: 2023-10-11
Joint calibration estimators for totals and quantiles
Rendered froma_theory.Rmdusingknitr::rmarkdownon Jan 03 2025.Last update: 2023-10-11
Started: 2023-10-11
