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MLMusingR

MLMusingR is a companion package for the book Practical Multilevel Modeling using R.

Installation

You can install the released version of MLMusingR from CRAN with:

install.packages("MLMusingR")

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Install

install.packages('MLMusingR')

Monthly Downloads

320

Version

0.3.2

License

GPL-2

Issues

0

Pull Requests

0

Stars

2

Forks

0

Maintainer

Francis Huang

Last Published

January 27th, 2024

Functions in MLMusingR (0.3.2)

ri_test2

Sample dataset 2 for testing the likelihood ratio test (LRT)
suspend

Suspension data from Virginia
tidy.CR2

Tidy a CR2 object
wide

Wide dataset to be used for growth modeling
engage.miss

Student engagement dataset (with missing data).
glance.CR2

Glance at goodness-of-fit statistics
Htest

Test for homoskedasticity at level one
MatSqrtInverse

Compute the inverse square root of a matrix
ri_test1

Sample dataset 1 for testing the likelihood ratio test
thai

Thai data from PISA
hdp

Hospital, doctor, patient (hdp) dataset
nmiss

Amount of missing data per variable
sch29

Data from 29 schools (based on the NELS dataset) used for regression diagnostics
robust_mixed

Cluster robust standard errors with degrees of freedom adjustments for lmerMod/lme objects
satdf

Compute Satterthwaite degrees of freedom
thai.sm

Thai data from PISA (reduced)
cdata.ex

Clustered dataset for centering example
group_center

Group-mean center a variable
group_mean

Computes the group mean of a variable
engage

Student engagement dataset (complete data).
%>%

Pipe operator
pisa2012

USA data from PISA 2012