R: Mixed Model ANOVA and Statistics for Education

# Mixed Model ANOVA and Statistics for Education

## Documentation for package ‘mixlm’ version 1.4.3

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

Anova | Analysis of variance with SS type II or III (including mixed models).
anova | Analysis of variance (sequential SS)
Anova.lmm | Analysis of variance with SS type II or III (including mixed models).
anova.lmm | Analysis of variance (sequential SS)
AnovaMix | Mixed model least squares analysis of variance (mixed ANOVA).
AnovaMixMLM | Mixed model least squares analysis of variance (mixed ANOVA).
anova_reg | Analysis of variance for regression.
backward | F-test based model effect selection for linear models.
best.subsets | F-test based best subset selection.
CIgrandMean | Confidence interval for the grand mean of a linear model
cld | Pairwise comparison with multiple testing compensation.
confusion | Confusion matrix.
contr.weighted | Contrast matrix for weighted effect coding
effect.labels | Create new effect labels for 'lm'
forward | F-test based model effect selection for linear models.
fparse | Effects of formulas.
glm | Fitting Generalized Linear Models
hasseMod | Hasse Diagram from Linear Model
is.balanced | Balance cheking of models.
lm | Fitting Linear Models
lmer | Fitting Linear Models
mixlm | Fitting Linear Models
plotprops | Property plots for relevant component analysis
PRESS | Prediction fits
PRESS.pred | Prediction fits
PRESS.res | Prediction fits
print | Print method for objects of class(AnovaMix) and class(AnovaMixMLM)
print.AnovaMix | Print method for objects of class(AnovaMix) and class(AnovaMixMLM)
print.AnovaMixMLM | Print method for objects of class(AnovaMix) and class(AnovaMixMLM)
print.CIgm | Confidence interval for the grand mean of a linear model
print.glm | Fitting Generalized Linear Models
print.lmm | Fitting Linear Models
print.simple.glht | Pairwise comparison with multiple testing compensation.
print.summary.lmm | Summarizing Linear Model Fits
print.WF | F-test based model effect selection for linear models.
prop.test.ordinary | Test of Equal or Given Proportions in text-book version
qr.lmm | Fitting Linear Models
R2pred | Prediction fits
random.worker | Fitting Linear Models
RMSEP | Prediction fits
rmsep | Prediction fits
rparse | Removes function r() from formulas.
simple.glht | Pairwise comparison with multiple testing compensation.
spearson | Standardized Pearson residuals
stepWise | F-test based model effect selection for linear models.
stepWiseBack | F-test based model effect selection for linear models.
summary.lmm | Fitting Linear Models
tally | Tally of discrete numbers
t_test | Text book versions of t-tests and z-tests.
t_test.default | Text book versions of t-tests and z-tests.
t_test.formula | Text book versions of t-tests and z-tests.
t_test_sum | Text book versions of t-tests and z-tests.
wideForward | F-test based model effect selection for linear models.
z_test | Text book versions of t-tests and z-tests.
z_test.default | Text book versions of t-tests and z-tests.
z_test.formula | Text book versions of t-tests and z-tests.
z_test_sum | Text book versions of t-tests and z-tests.