classroomStudy: Dataset of students math achievements

In lmmlasso: Linear mixed-effects models with Lasso

Description

This is a subset of the Classroom Study described in West et. al. (2007) with 156 observations and 6 variables.

Usage

data(classroomStudy)

Format

A list with the following four components.

y

Response variable. The students math achievement gain.

grp

Grouping variable comprising the class of the students.

X

Fixed-effect design matrix. The first column is the intercept, then sex, minority, mathkind, ses, yearstea and mathprep.

Z

Random-effects design matrix. Only one column in order to fit a random intercept model.

Details

A detailed description of the covariates can be found in West et. al. (2007) and was carried out by Hill et. al. (2005)

Source

http://www-personal.umich.edu/~bwest/classroom.csv

References

Brady T. West, Kathleen B. Welch and Andrzei T. Galecki (2007), Linear Mixed Models, A Practical Guide Using Statistical Software,Chapman and Hall.

H.C. Hill, B. Rowan and D.L. Ball (2005) "Effect of teachers" mathematical knowledge for teaching on student achievements, American Educational Research Journal, 42, 371-406.

Examples

data(classroomStudy)

Example output

Loading required package: emulator
Loading required package: mvtnorm
Loading required package: miscTools
Loading required package: penalized
Loading required package: survival
Welcome to penalized. For extended examples, see vignette("penalized").
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This is a test release of the package 'lmmlasso'. If you have any questions or problems, do not hesitate to contact the author.
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lmmlasso documentation built on May 2, 2019, 2:16 p.m.