afex-package            The afex Package
afex_aov-methods        Methods for afex_aov objects
afex_options            Set/get global afex options
all_fit                 Refit 'lmer' model using multiple optimizers
aov_car                 Convenient ANOVA estimation for factorial
                        designs
compare.2.vectors       Compare two vectors using various tests.
ems                     Expected values of mean squares for factorial
                        designs Implements the Cornfield-Tukey
                        algorithm for deriving the expected values of
                        the mean squares for factorial designs.
fhch2010                Data from Freeman, Heathcote, Chalmers, &
                        Hockley (2010)
ks2013.3                Data from Klauer & Singmann (2013, Experiment
                        3)
md_12.1                 Data 12.1 from Maxwell & Delaney
md_15.1                 Data 15.1 / 11.5 from Maxwell & Delaney
md_16.1                 Data 16.1 / 10.9 from Maxwell & Delaney
md_16.4                 Data 16.4 from Maxwell & Delaney
mixed                   p-values for fixed effects of mixed-model via
                        lme4::lmer()
nice                    Make nice ANOVA table for printing.
obk.long                O'Brien Kaiser's Repeated-Measures Dataset with
                        Covariate
round_ps                Helper function which rounds p-values
set_sum_contrasts       Set global contrasts
sk2011.1                Data from Singmann & Klauer (2011, Experiment
                        1)
sk2011.2                Data from Singmann & Klauer (2011, Experiment
                        2)
