Other packages > Find by keyword >

StackImpute  

Tools for Analysis of Stacked Multiple Imputations
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("StackImpute", "0.1.0")



Attach the package and use:
library("StackImpute")
Maintained by
Mike Kleinsasser
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-09-10
Latest Update: 2021-09-10
Description:
Provides methods for inference using stacked multiple imputations augmented with weights. The vignette provides example R code for implementation in general multiple imputation settings. For additional details about the estimation algorithm, we refer the reader to Beesley, Lauren J and Taylor, Jeremy M G (2020) “A stacked approach for chained equations multiple imputation incorporating the substantive model” <doi:10.1111/biom.13372>, and Beesley, Lauren J and Taylor, Jeremy M G (2021) “Accounting for not-at-random missingness through imputation stacking” <doi:10.48550/arXiv.2101.07954>.
How to cite:
Mike Kleinsasser (2021). StackImpute: Tools for Analysis of Stacked Multiple Imputations. R package version 0.1.0, https://cran.r-project.org/web/packages/StackImpute
Previous versions and publish date:
No previous versions
Other packages that cited StackImpute R package
View StackImpute citation profile
Other R packages that StackImpute depends, imports, suggests or enhances
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

gclus  
Clustering Graphics
Orders panels in scatterplot matrices and parallel coordinate displays by some merit index. Package ...
Download / Learn more Package Citations See dependency  
stagePop  
Modelling the Population Dynamics of a Stage-Structured Species in Continuous Time
Provides facilities to implement and run population models of stage-structured species... ...
Download / Learn more Package Citations See dependency  
CompoundEvents  
Statistical Modeling of Compound Events
Tools for extracting occurrences, assessing potential driving factors, predicting occurrences, and q ...
Download / Learn more Package Citations See dependency  
multiocc  
Fits Multivariate Spatio-Temporal Occupancy Model
Spatio-temporal multivariate occupancy models can handle multiple species in occupancy models. This ...
Download / Learn more Package Citations See dependency  
MatrixEQTL  
Matrix eQTL: Ultra Fast eQTL Analysis via Large Matrix Operations
Matrix eQTL is designed for fast eQTL analysis on large datasets. Matrix eQTL can test for associat ...
Download / Learn more Package Citations See dependency  
ismev  
An Introduction to Statistical Modeling of Extreme Values
Functions to support the computations carried out in `An Introduction to Statistical Modeling of Ex ...
Download / Learn more Package Citations See dependency  

22,114

R Packages

188,080

Dependencies

55,244

Author Associations

22,115

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net. Contact Us / Suggestions / Concerns