R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
WeMix
View on CRAN: Click
here
Download and install WeMix package within the R console
Install from CRAN:
install.packages("WeMix")
Install from Github:
library("remotes")
install_github("cran/WeMix")
Install by package version:
library("remotes")
install_version("WeMix", "4.0.3")
Attach the package and use:
library("WeMix")
Maintained by
Paul Bailey
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-04-10
Latest Update: 2023-03-21
Description:
Run mixed-effects models that include weights at every level. The WeMix package fits a weighted mixed model, also known as a multilevel, mixed, or hierarchical linear model (HLM). The weights could be inverse selection probabilities, such as those developed for an education survey where schools are sampled probabilistically, and then students inside of those schools are sampled probabilistically. Although mixed-effects models are already available in R, WeMix is unique in implementing methods for mixed models using weights at multiple levels. Both linear and logit models are supported. Models may have up to three levels. Random effects are estimated using the PIRLS algorithm from 'lme4pureR' (Walker and Bates (2013) <https://github.com/lme4/lme4pureR>).
How to cite:
Paul Bailey (2018). WeMix: Weighted Mixed-Effects Models Using Multilevel Pseudo Maximum Likelihood Estimation. R package version 4.0.3, https://cran.r-project.org/web/packages/WeMix. Accessed 03 Feb. 2025.
Previous versions and publish date:
1.0.2 (2018-04-10 11:56), 2.0.0 (2018-08-14 19:20), 2.1.0 (2018-09-24 17:00), 2.2.0 (2019-03-13 09:18), 2.2.1 (2019-03-14 22:44), 3.0.0 (2019-03-30 19:30), 3.1.1 (2019-06-27 10:10), 3.1.3 (2020-01-09 00:02), 3.1.4 (2020-05-21 07:10), 3.1.5 (2020-09-09 07:40), 3.1.6 (2020-12-08 08:20), 3.1.7 (2021-05-11 19:02), 3.1.8 (2021-06-06 06:40), 3.1.9 (2021-10-20 07:20), 3.2.0 (2021-11-16 18:20), 3.2.1 (2021-12-07 06:50), 3.2.2 (2022-09-23 18:40), 3.2.4 (2022-10-05 15:00), 3.3.0 (2022-12-21 18:50), 4.0.0 (2023-03-21 10:00)
Other packages that cited WeMix R package
View WeMix citation profile
Other R packages that WeMix depends,
imports, suggests or enhances
Complete documentation for WeMix
Functions, R codes and Examples using
the WeMix R package
Some associated functions: WeMix-package . mix . waldTest .
Some associated R codes: adaptiveQuad.R . analyticSolve.R . covarianceConstructors.R . drv.R . helpers.R . lnl.R . weMix-package.R . zzz.R . Full WeMix package functions and examples
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
sgof
Seven different methods for multiple testing problems. The SGoF-type methods (see for example, Carva ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Irene Castro Conde (view profile)
nextGenShinyApps
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
predictoR
Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Oldemar Rodriguez (view profile)
cmce
Implements the Bayesian calibration model described
in Pratola and Chkrebtii (2018) ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Matthew T. Pratola (view profile)
SMR
Computes the studentized midrange distribution (pdf, cdf and quantile) and generates random numbers. ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Daniel Furtado Ferreira (view profile)
HGMND
Graphical model is an informative and powerful tool to explore the conditional dependence relationsh ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Jiaqi Zhang (view profile)