Package index

Fit and control

lmm()

Fit a Gaussian linear mixed model

lmm_control()

Control numerical optimization for lmm()

Inference and marginal means

lsmeans()

Estimated marginal means for an lmm model

summary(<lmm>)

Summarize an lmm fit

Model methods

print(<lmm>) coef(<lmm>) vcov(<lmm>) logLik(<lmm>) AIC(<lmm>) BIC(<lmm>) deviance(<lmm>) nobs(<lmm>) fitted(<lmm>) residuals(<lmm>) plot(<lmm>) sigma(<lmm>) predict(<lmm>) simulate(<lmm>) update(<lmm>) model.matrix(<lmm>) model.frame(<lmm>) formula(<lmm>) terms(<lmm>) anova(<lmm>) confint(<lmm>)

Standard methods for lmm fits

Extractors

fixef()

Extract fixed effects

ranef()

Extract random effects

VarCorr()

Extract covariance components

Tidy methods

tidy(<lmm>)

Tidy an lmm model

glance(<lmm>)

One-row model summary for an lmm model

augment(<lmm>)

Augment data with fitted values and residuals

Interoperability

recover_data(<lmm>) emm_basis(<lmm>)

Support for emmeans

Data

multicentre

Multi-site repeated-measures experiment

sas_split_plot

Split-plot example from the SAS MIXED procedure documentation

sas_growth

Repeated-measures growth example from the SAS MIXED documentation

sas_random_coefficients

Random-coefficients example from the SAS MIXED documentation

sas_line_source

Line-source irrigation example from the SAS MIXED documentation