Other packages > Find by keyword >

NonProbEst  

Estimation in Nonprobability Sampling
View on CRAN: Click here


Download and install NonProbEst package within the R console
Install from CRAN:
install.packages("NonProbEst")

Install from Github:
library("remotes")
install_github("cran/NonProbEst")

Install by package version:
library("remotes")
install_version("NonProbEst", "0.2.4")



Attach the package and use:
library("NonProbEst")
Maintained by
Luis Castro Martín
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-06-18
Latest Update: 2020-06-03
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
How to cite:
Luis Castro Martín (2019). NonProbEst: Estimation in Nonprobability Sampling. R package version 0.2.4, https://cran.r-project.org/web/packages/NonProbEst. Accessed 05 Aug. 2026.
Previous versions and publish date:
0.1.0 (2019-06-18 18:10), 0.2.0 (2019-09-07 10:00), 0.2.1 (2019-09-30 14:50), 0.2.2 (2019-11-29 12:40), 0.2.3 (2019-12-17 18:00), (2026-07-09 08:15)
Other packages that cited NonProbEst R package
View NonProbEst citation profile
Other R packages that NonProbEst depends, imports, suggests or enhances
Complete documentation for NonProbEst
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
kernelPSI  
Post-Selection Inference for Nonlinear Variable Selection
Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency  
dhReg  
Dynamic Harmonic Regression
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
Download / Learn more Package Citations See dependency  
dcov  
A Fast Implementation of Distance Covariance
Efficient methods for computing distance covariance and relevant statistics. See Sz ...
Download / Learn more Package Citations See dependency  
noisyr  
Noise Quantification in High Throughput Sequencing Output
Quantifies and removes technical noise from high-throughput sequencing data. Two approaches are use ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA