NonProbEst
Estimation in Nonprobability Sampling
Description
Different inference procedures are proposed in the literature to correct for selection bias that might be introduced with non-random selection mechanisms. A class of methods to correct for selection bias is to apply a statistical model to predict the units not in the sample (super-population modeling). Other studies use calibration or Statistical Matching (statistically match nonprobability and probability samples). To date, the more relevant methods are weighting by Propensity Score Adjustment (PSA). The Propensity Score Adjustment method was originally developed to construct weights by estimating response probabilities and using them in Horvitz–Thompson type estimators. This method is usually used by combining a non-probability sample with a reference sample to construct propensity models for the non-probability sample. Calibration can be used in a posterior way to adding information of auxiliary variables. Propensity scores in PSA are usually estimated using logistic regression models. Machine learning classification algorithms can be used as alternatives for logistic regression as a technique to estimate propensities. The package 'NonProbEst' implements some of these methods and thus provides a wide options to work with data coming from a non-probabilistic sample.
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| Flavor | Status |
|---|---|
| r-devel-linux-x86_64-debian-clang | NOTE |
| r-devel-linux-x86_64-debian-gcc | NOTE |
| r-devel-linux-x86_64-fedora-clang | NOTE |
| r-devel-linux-x86_64-fedora-gcc | NOTE |
| r-devel-macos-arm64 | OK |
| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | OK |
| r-oldrel-macos-x86_64 | OK |
| r-oldrel-windows-x86_64 | OK |
| r-patched-linux-x86_64 | OK |
| r-release-linux-x86_64 | OK |
| r-release-macos-arm64 | OK |
| r-release-macos-x86_64 | OK |
| r-release-windows-x86_64 | OK |
Check details (14 non-OK)
CRAN incoming feasibility
Maintainer: ‘Luis Castro Martín <luiscastro193@gmail.com>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: c(person(given = c("Luis", "Castro"),
family = "Martín",
role = c("aut", "cre"),
email = "luiscastro193@gmail.com"),
person(given = c("Ramón", "Ferri"),
family = "García",
role = "aut",
email = "rferri@ugr.es"),
person(given = c("María", "del", "Mar"),
family = "Rueda",
role = "aut",
email = "mrueda@ugr.es"))
as necessary.
Found the following URLs which should use \doi (with the DOI name only):
File ‘valliant_weights.Rd’:
https://doi.org/10.1093/jssam/smz003
CRAN incoming feasibility
Maintainer: ‘Luis Castro Martín <luiscastro193@gmail.com>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: c(person(given = c("Luis", "Castro"),
family = "Martín",
role = c("aut", "cre"),
email = "luiscastro193@gmail.com"),
person(given = c("Ramón", "Ferri"),
family = "García",
role = "aut",
email = "rferri@ugr.es"),
person(given = c("María", "del", "Mar"),
family = "Rueda",
role = "aut",
email = "mrueda@ugr.es"))
as necessary.
Found the following URLs which should use \doi (with the DOI name only):
File ‘valliant_weights.Rd’:
https://doi.org/10.1093/jssam/smz003
dependencies in R code
Namespaces in Imports field not imported from: ‘Matrix’ ‘e1071’ ‘glmnet’ All declared Imports should be used.
dependencies in R code
Namespaces in Imports field not imported from: ‘Matrix’ ‘e1071’ ‘glmnet’ All declared Imports should be used.
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Check History
NOTE 10 OK · 4 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
CRAN incoming feasibility
Maintainer: ‘Luis Castro Martín <luiscastro193@gmail.com>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: c(person(given = c("Luis", "Castro"),
family = "Martín",
role = c("aut", "cre"),
email = "luiscastro193@gmail.com"),
person(given = c("Ramón", "Ferri"),
family = "García",
role = "aut",
email = "rferri@ugr.es"),
CRAN incoming feasibility
Maintainer: ‘Luis Castro Martín <luiscastro193@gmail.com>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: c(person(given = c("Luis", "Castro"),
family = "Martín",
role = c("aut", "cre"),
email = "luiscastro193@gmail.com"),
person(given = c("Ramón", "Ferri"),
family = "García",
role = "aut",
email = "rferri@ugr.es"),
dependencies in R code
Namespaces in Imports field not imported from: ‘Matrix’ ‘e1071’ ‘glmnet’ All declared Imports should be used.
dependencies in R code
Namespaces in Imports field not imported from: ‘Matrix’ ‘e1071’ ‘glmnet’ All declared Imports should be used.