ILSE

Iterative Least Square Estimation or Full Information Maximum Likelihood Estimation for Linear Regression When Data Include Missing Values.

https://github.com/feiyoung/ilse

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 1 DOI reference(s) in README
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (11.0%) to scientific vocabulary

Keywords

fiml ilse linear-regression missing-data
Last synced: 6 months ago · JSON representation

Repository

Iterative Least Square Estimation or Full Information Maximum Likelihood Estimation for Linear Regression When Data Include Missing Values.

Basic Info
  • Host: GitHub
  • Owner: feiyoung
  • Language: R
  • Default Branch: master
  • Homepage:
  • Size: 1.09 MB
Statistics
  • Stars: 2
  • Watchers: 2
  • Forks: 3
  • Open Issues: 0
  • Releases: 0
Topics
fiml ilse linear-regression missing-data
Created almost 8 years ago · Last pushed about 2 years ago
Metadata Files
Readme

README.md

ILSE

=========================================================================

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Linear Regression by Iterative Least Square Estimation When Covariates Include Missing Values. In ILSE package, we also provide Full Information Maximum Likelihood for Linear Regression fimlreg that can handle missing Covariates or missing Response variables.

Please see our new paper for model details:

Huazhen Lin, Wei Liu, & Wei Lan (2021). Regression Analysis with individual-specific patterns of missing covariates. Journal of Business & Economic Statistics, 39(1), 179-188.

Installation

To install the the packages 'ILSE' from 'Github', firstly, install the 'remotes' package. {Rmd} install.packages("remotes") remotes::install_github("feiyoung/ILSE") Or install the the packages "ILSE" from 'CRAN' {Rmd} install.packages("ILSE")

Usage

For usage examples and guided walkthroughs, check the vignettes directory of the repo.

Website of ILSE package

We set up a package website to illustrate the usage of this package. For examples of typical ILSE usage, please see our Package Website for a demonstration and overview of the functions included in ILSE.

Owner

  • Name: Wei Liu
  • Login: feiyoung
  • Kind: user
  • Company: SWUFE

Stastistics

GitHub Events

Total
Last Year

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 30
  • Total Committers: 2
  • Avg Commits per committer: 15.0
  • Development Distribution Score (DDS): 0.133
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
feiyoung 1****3@q****m 26
feiyoung y****u@e****m 4
Committer Domains (Top 20 + Academic)
qq.com: 1

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 1
  • Total pull requests: 0
  • Average time to close issues: almost 3 years
  • Average time to close pull requests: N/A
  • Total issue authors: 1
  • Total pull request authors: 0
  • Average comments per issue: 6.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • eleozzr (1)
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 239 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 2
  • Total maintainers: 1
cran.r-project.org: ILSE

Linear Regression Based on 'ILSE' for Missing Data

  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 239 Last month
Rankings
Forks count: 14.9%
Dependent packages count: 29.8%
Stargazers count: 31.7%
Dependent repos count: 35.5%
Average: 37.7%
Downloads: 76.6%
Maintainers (1)
Last synced: 7 months ago

Dependencies

DESCRIPTION cran
  • R >= 3.0.1 depends
  • Rcpp * imports
  • pbapply * imports
  • stats * imports
  • knitr * suggests
  • rmarkdown * suggests