DESCRIPTION

Package: lmerTest
Type: Package
Title: Tests in Linear Mixed Effects Models
Version: 3.1-3
Authors@R: c(person("Alexandra", "Kuznetsova", role = c("aut")),
                   person("Per", "Bruun Brockhoff", role = c("aut", "ths"),
                   email = "perbb@dtu.dk"),
                   person("Rune", "Haubo Bojesen Christensen", role =  c("aut", "cre"),
		   email = "Rune.Haubo@gmail.com"),
		   person("Sofie", "Pødenphant Jensen", role=c("ctb"), email="sofp@dtu.dk"))
Depends:
    R (>= 3.2.5),
    lme4 (>= 1.1-10),
    stats,
    methods
Imports:
    numDeriv,
    MASS,
    ggplot2
Suggests:
    pbkrtest (>= 0.4-3),
    tools
Description: Provides p-values in type I, II or III anova and summary tables
    for lmer model fits (cf. lme4) via Satterthwaite's degrees of freedom method. A
    Kenward-Roger method is also available via the pbkrtest package. Model selection
    methods include step, drop1 and anova-like tables for random effects (ranova).
    Methods for Least-Square means (LS-means) and tests of linear contrasts of fixed
    effects are also available.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
URL: https://github.com/runehaubo/lmerTestR
BugReports: https://github.com/runehaubo/lmerTestR/issues
RoxygenNote: 7.1.1
Collate: 
    'anova_contrasts.R'
    'contest.R'
    'contrast_utils.R'
    'data_documentation.R'
    'drop1.R'
    'estimability.R'
    'legacy.R'
    'lmer.R'
    'lmerTest.R'
    'lmer_anova.R'
    'lmer_summary.R'
    'ls_means.R'
    'ranova.R'
    'step.R'
    'terms_utils.R'
    'utils.R'