quickmatch | Quick Generalized Full Matching in R | SDK library

by fsavje R Version: v0.2.1 License: GPL-3.0

X-Ray Key Features Code Snippets(3)Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | quickmatch Summary

quickmatch is a R library typically used in Utilities, SDK applications. quickmatch has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

quickmatch provides functions for constructing near-optimal generalized full matchings. Generalized full matching is an extension of the original full matching method to situations with more intricate study designs. The package is made with large data sets in mind and derives matchings more than an order of magnitude quicker than other methods.

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Support

quickmatch has a low active ecosystem.

It has 9 star(s) with 2 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 11 have been closed. On average issues are closed in 56 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of quickmatch is v0.2.1

Quality

quickmatch has no bugs reported.

Security

quickmatch has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

quickmatch is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

quickmatch releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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quickmatch Key Features

No Key Features are available at this moment for quickmatch.

quickmatch Examples and Code Snippets

quickmatch,Example on how to use quickmatch

Lines of Code : 34

License : Strong Copyleft (GPL-3.0)

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# Load package
library("quickmatch")

# Construct example data
my_data <- data.frame(y = rnorm(100),
                      x1 = runif(100),
                      x2 = runif(100),
                      treatment = factor(sample(rep(c("T", "C"), c(2

quickmatch,How to install development version

Lines of Code : 2

License : Strong Copyleft (GPL-3.0)

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if (!require("devtools")) install.packages("devtools")
devtools::install_github("fsavje/quickmatch")

quickmatch,How to install

Lines of Code : 1

License : Strong Copyleft (GPL-3.0)

Copy

install.packages("quickmatch")

Community Discussions

Trending Discussions on quickmatch

POSTING a custom object with Retrofit2 issue

Matched Sampling package or function for large dataset

QUESTION

POSTING a custom object with Retrofit2 issue

Asked 2020-Mar-01 at 16:55

I'm currently making my first custom Android app for a project and I can't resolve the following issue. (I made a lot of research but didn't find anything like this)

...

ANSWER

Answered 2020-Feb-20 at 18:44

I finally fixed this issue. The problem was created by the phone_number field which I wanted to be optional. Indeed, when the corresponding EditText was empty when posting, the value wasn't put to null but something "empty" (not just ""), that explain the parsing error. So I just added a condition to set this field at null if the EditText isn't filled.

Source https://stackoverflow.com/questions/60238206

QUESTION

Matched Sampling package or function for large dataset

Asked 2019-Oct-20 at 20:13

I need an R package or function that will allow me to match controls to cases for a large dataset, 5 million subjects. I have tried a few packages, my problems are summarized below. I only tried to match on a single covariate and I most likely will need to match on several.

Package MatchIt: The nearest neighbor, optimal, and genetic methods all just run for hours and hours. The "cem" method runs really quickly but I need to know which cases were matched/unmatched so I can do further analysis with the matched subset. Running the match.data() on the cem results only supplies the weights to be used in a regression and not the matched subset. The paired function in cem would work if I wanted one to one matching but I want to retain as many controls as possible.

matchControls() in the e1071 package: runs for a long time and them returns "not able to allocate vector of size 1352 GB"

Match() function from Matching package: Just runs and runs...

quickmatch() from the quickmatch package: It ran quickly but I am not sure I'm using the function correctly or how to extract the matched data from the "qm_matching" object returned. Below is my attempt using quickmatch on fake data.

...

ANSWER

Answered 2019-Jul-01 at 06:00

After a more careful reading of the cem documentation I think I have the solution to my problem using the Matchit package or the cem package.

Source https://stackoverflow.com/questions/56697012

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install quickmatch

quickmatch is on CRAN and can be installed by running:.
It is recommended to use the stable CRAN version, but the latest development version can be installed directly from Github using devtools:. The package contains compiled code, and you must have a development environment to install the development version. (Use devtools::has_devel() to check whether you do.) If no development environment exists, Windows users download and install Rtools and macOS users download and install Xcode.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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