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 22 Dec. 2024.
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)
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
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
tropAlgebra  
Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency  
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)
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  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

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