Other packages > Find by keyword >

mase  

Model-Assisted Survey Estimators
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("mase", "0.1.5.2")



Attach the package and use:
library("mase")
Maintained by
Kelly McConville
[Scholar Profile | Author Map]
First Published: 2018-06-14
Latest Update: 2023-08-30
Description:
A set of model-assisted survey estimators and corresponding variance estimators for single stage, unequal probability, without replacement sampling designs. All of the estimators can be written as a generalized regression estimator with the Horvitz-Thompson, ratio, post-stratified, and regression estimators summarized by Sarndal et al. (1992, ISBN:978-0-387-40620-6). Two of the estimators employ a statistical learning model as the assisting model: the elastic net regression estimator, which is an extension of the lasso regression estimator given by McConville et al. (2017) , and the regression tree estimator described in McConville and Toth (2017) . The variance estimators which approximate the joint inclusion probabilities can be found in Berger and Tille (2009) and the bootstrap variance estimator is presented in Mashreghi et al. (2016) .
How to cite:
Kelly McConville (2018). mase: Model-Assisted Survey Estimators. R package version 0.1.5.2, https://cran.r-project.org/web/packages/mase. Accessed 03 May. 2025.
Previous versions and publish date:
0.1.1 (2018-06-14 20:33), 0.1.2 (2018-10-13 01:00), 0.1.3 (2021-07-10 01:00), 0.1.4 (2023-08-30 18:50), 0.1.5.1 (2023-11-27 22:50), 0.1.5 (2023-11-16 18:30)
Other packages that cited mase R package
View mase citation profile
Other R packages that mase depends, imports, suggests or enhances
Complete documentation for mase
Downloads during the last 30 days
04/0304/0404/0504/0604/0704/0804/0904/1004/1104/1204/1304/1404/1504/1604/1704/1804/1904/2004/2104/2204/2304/2404/2504/2604/2704/2804/2904/3005/01Downloads for mase05101520253035TrendBars

Today's Hot Picks in Authors and Packages

r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
cleanNLP  
A Tidy Data Model for Natural Language Processing
Provides a set of fast tools for converting a textual corpus into a set of normalized tables. Users ...
Download / Learn more Package Citations See dependency  
sift  
Intelligently Peruse Data
Facilitate extraction of key information from common datasets. ...
Download / Learn more Package Citations See dependency  
scModels  
Fitting Discrete Distribution Models to Count Data
Provides functions for fitting discrete distribution models to count data. Included are the Poisson ...
Download / Learn more Package Citations See dependency  
hdme  
High-Dimensional Regression with Measurement Error
Penalized regression for generalized linear models for measurement error problems (aka. errors-in-v ...
Download / Learn more Package Citations See dependency  
ncvreg  
Regularization Paths for SCAD and MCP Penalized Regression Models
Fits regularization paths for linear regression, GLM, and Cox regression models using lasso or nonc ...
Download / Learn more Package Citations See dependency  

24,187

R Packages

207,311

Dependencies

65,312

Author Associations

24,143

Publication Badges

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