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Fitting Linear Mixed-Effects Models: The lmer() Function
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Author(s):
Andrzej Gałecki
,
Tomasz Burzykowski
Publication date
(Online):
June 28 2012
Publisher:
Springer New York
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Transformation and Weighting in Regression
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Book Chapter
Publication date (Print):
2013
Publication date (Online):
June 28 2012
Pages
: 303-326
DOI:
10.1007/978-1-4614-3900-4_15
SO-VID:
d7992ce6-1cfc-4369-b949-4a8b70d90307
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Book chapters
pp. 3
Introduction
pp. 11
Case Studies
pp. 39
Data Exploration
pp. 69
Linear Models with Homogeneous Variance
pp. 89
Fitting Linear Models with Homogeneous Variance: The lm() and gls() Functions
pp. 113
ARMD Trial: Linear Model with Homogeneous Variance
pp. 123
Linear Models with Heterogeneous Variance
pp. 149
Fitting Linear Models with Heterogeneous Variance: The gls() Function
pp. 159
ARMD Trial: Linear Model with Heterogeneous Variance
pp. 177
Linear Model with Fixed Effects and Correlated Errors
pp. 197
Fitting Linear Models with Fixed Effects and Correlated Errors: The gls() Function
pp. 213
ARMD Trial: Modeling Correlated Errors for Visual Acuity
pp. 245
Linear Mixed-Effects Model
pp. 275
Fitting Linear Mixed-Effects Models: The lme()Function
pp. 303
Fitting Linear Mixed-Effects Models: The lmer() Function
pp. 327
ARMD Trial: Modeling Visual Acuity
pp. 385
PRT Trial: Modeling Muscle Fiber Specific-Force
pp. 431
SII Project: Modeling Gains in Mathematics Achievement-Scores
pp. 465
FCAT Study: Modeling Attainment-Target Scores
pp. 491
Extensions of theRTools for Linear Mixed-Effects Models
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