Package index • Linear Mixed Models with Applications in Veterinary Research

Models

vlm_fit(): Fit a linear mixed model
vlm_random() vlm_repeated(): Random-effects and residual covariance structures
vlm_ems(): Analysis of variance with expected mean squares
vlm_compare(): Compare fitted models

vlm_lsmeans(): Least-squares means
vlm_estimate() vlm_contrast(): Estimates and contrasts of fixed (and random) effects
vlm_blup(): Best linear unbiased predictions of the random effects

Examp1.3.2: Example 1.3.2: expected mean squares in the fixed and the mixed model
Examp2.2.1.7: Example 2.2.1.7: one-way analysis of variance, an estimate and a contrast
Examp2.3.2: Example 2.3.2: the mixed model descriptions of Chapter 2
Examp2.4.2.2: Example 2.4.2.2: ML and REML estimates of variance components
Examp2.4.3.1: Example 2.4.3.1: best linear unbiased prediction of sire effects
Examp2.5.1.1: Example 2.5.1.1: generalised least-squares estimates of the fixed effects
Examp2.5.2.1: Example 2.5.2.1: cell means as estimable functions
Examp2.5.3.1: Example 2.5.3.1: confidence intervals with Satterthwaite degrees of freedom
Examp2.5.4.1: Example 2.5.4.1: broad and narrow inference spaces
Examp2.6.1: Example 2.6.1: F tests of general linear hypotheses
Examp3.1: Example 3.1: a designed experiment with doses nested in drug and a covariate
Examp3.2: Example 3.2: sires nested in breed, heritability and breed comparisons
Examp3.3: Example 3.3: covariance structures for repeated measures

ex121: Example 1.2.1: comparing three doses of a drug
ex122: Example 1.2.2: comparing two doses of a drug in a randomised block design
ex123: Example 1.2.3: comparing two drugs with herds as experimental units
ex124: Example 1.2.4: two drugs at two doses with two sizes of experimental units
ex125: Example 1.2.5: two drugs at two doses in a split-plot design
ex126: Example 1.2.6: variation in ELISA data
ex127: Example 1.2.7: helminth resistance in sheep
ex31: Example 3.1: two drugs and their doses, herds nested in drug (part of the data)
ex32: Example 3.2: weaning weights of lambs by breed and sire (part of the data)
ex33: Example 3.3: breed differences in susceptibility to trypanosomosis

print(<vlm_result>) summary(<vlm_result>) print(<summary.vlm_result>) format(<vlm_result>) as.data.table(<vlm_result>) as.data.frame(<vlm_result>) plot(<vlm_result>): Methods for VetResearchLMM results
autoplot.vlm_result(): Plot a result
vlm_interpret() print(<vlm_interpretation>) format(<vlm_interpretation>): Plain-language interpretation of a result

Kept, and extended to vlm_fit() results.

vlm_cite(): References of a result or of the package
vlm_theme(): ggplot2 theme of VetResearchLMM
vlm_save(): Save a figure (vector PDF by default)
vlm_notation(): Notation of VetResearchLMM
vlm_reference(): Published values used by the tests and vignettes
VetResearchLMM VetResearchLMM-package: VetResearchLMM: Linear Mixed Models with Applications in Veterinary Research