"t value" associated with nlme/lme4
Posted by Rob Casson, at stats.stackexchange.com,
I understand the problem of determining the degrees of freedom in multi-level models; hence, the decision by Doug Bates et al.
Linear Mixed-Effects Models Using R
Overview of attention for book
Table of Contents
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Altmetric BadgeBook Overview
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Altmetric BadgeChapter 1 Introduction
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Altmetric BadgeChapter 2 Case Studies
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Altmetric BadgeChapter 3 Data Exploration
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Altmetric BadgeChapter 4 Linear Models with Homogeneous Variance
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Altmetric BadgeChapter 5 Fitting Linear Models with Homogeneous Variance: The lm() and gls() Functions
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Altmetric BadgeChapter 6 ARMD Trial: Linear Model with Homogeneous Variance
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Altmetric BadgeChapter 7 Linear Models with Heterogeneous Variance
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Altmetric BadgeChapter 8 Fitting Linear Models with Heterogeneous Variance: The gls() Function
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Altmetric BadgeChapter 9 ARMD Trial: Linear Model with Heterogeneous Variance
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Altmetric BadgeChapter 10 Linear Model with Fixed Effects and Correlated Errors
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Altmetric BadgeChapter 11 Fitting Linear Models with Fixed Effects and Correlated Errors: The gls() Function
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Altmetric BadgeChapter 12 ARMD Trial: Modeling Correlated Errors for Visual Acuity
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Altmetric BadgeChapter 13 Linear Mixed-Effects Model
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Altmetric BadgeChapter 14 Fitting Linear Mixed-Effects Models: The lme()Function
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Altmetric BadgeChapter 15 Fitting Linear Mixed-Effects Models: The lmer() Function
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Altmetric BadgeChapter 16 ARMD Trial: Modeling Visual Acuity
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Altmetric BadgeChapter 17 PRT Trial: Modeling Muscle Fiber Specific-Force
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Altmetric BadgeChapter 18 SII Project: Modeling Gains in Mathematics Achievement-Scores
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Altmetric BadgeChapter 19 FCAT Study: Modeling Attainment-Target Scores
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Altmetric BadgeChapter 20 Extensions of theRTools for Linear Mixed-Effects Models