GithubHelp home page GithubHelp logo

inbo / multimput Goto Github PK

View Code? Open in Web Editor NEW
1.0 7.0 2.0 10.59 MB

multimput is an R package that assists with analysing dataset with missing values using multiple imputation.

Home Page: https://inbo.github.io/multimput

License: GNU General Public License v3.0

R 95.81% CSS 2.09% TeX 2.11%
r package imputation imputation-model

multimput's Introduction

Project Status: Active โ€“ The project has reached a stable, usable state and is being actively developed. Life cycle: maturing License Release check package r-universe name r-universe package Codecov test coverage GitHub code size in bytes GitHub repo size DOI

multimput

Rationale

The multimput package was originally intended to provide the data and code to replicate the results of Onkelinx, Devos, and Quataert (2016). This paper is freely available at http://dx.doi.org/10.1007/s10336-016-1404-9. The functions were all rewritten to make them more user-friendly and more generic. In order to make the package more compact, we removed the original code and data starting for version 0.2.6. However both the original code and data remain available in the older releases.

Documentation

All helpfiles and vignettes are available at https://inbo.github.io/multimput/

Installation

This package requires the INLA package. You need to install it with install.packages("INLA", repos = "https://inla.r-inla-download.org/R/stable"). If this fails you can use remotes::install_github("inbo/INLA"). Note that the latter is just a read-only mirror which is infrequently updated. Hence installing INLA from https://inla.r-inla-download.org is highly recommended.

Once INLA is installed, you can install multimput using the remotes package: remotes::install_github("inbo/multimput", build_vignettes = TRUE)). To view the vignette use vignette("Impute", package = "multimput"). The vignette is also available at https://inbo.github.io/multimput/articles/impute.html

A docker image with all the required dependencies is available from https://hub.docker.com/r/inbobmk/multimput/. Use docker pull inbobmk/multimput to get it.

Folder structure

The folder structure is that of a typical R packages with the mandatory R folder (definition of the functions) and man (helpfiles in Rd format). data is an optional folder in which some data sets are stored. The optional test folder contains the unit tests using the infrastructure from the testthat package. The optional vignette folder contains examples of the available themes. man-roxygen contains roxygen2 templates for the documentation.

multimput
|-- data
|-- man
|-- man-roxygen
|-- R
|-- tests
   |-- testthat
|-- vignettes

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.