VetResearchLMM (version 1.1.0)

Examp3.2: Examp3.2 from Duchateau, L. and Janssen, P. and Rowlands, G. J. (1998).Linear Mixed Models. An Introduction with applications in Veterinary Research. International Livestock Research Institute.

Description

Examp3.2 is used for inspecting probability distribution and to define a plausible process through linear models and generalized linear models.

Author

1. Muhammad Yaseen ()

References

1. Duchateau, L. and Janssen, P. and Rowlands, G. J. (1998).Linear Mixed Models. An Introduction with applications in Veterinary Research. International Livestock Research Institute.

See Also

ex124

Examples

#-------------------------------------------------------------
## Example 3.3 p-88
#-------------------------------------------------------------
# PROC MIXED DATA=ex32;
# CLASS sex sire_id breed;
# MODEL ww = sex agew breed/SOLUTION DDFM=SATTERTH;
# RANDOM sire_id(breed)/SOLUTION;
# LSMEANS breed/ADJUST = TUKEY;
# RUN;

str(ex32)
ex32$sire_id1 <- factor(ex32$sire_id)
ex32$breed1   <- factor(ex32$breed)
if (requireNamespace("lme4", quietly = TRUE) &&
    requireNamespace("lmerTest", quietly = TRUE)) {
  fm3.4 <-
    lmerTest::lmer(
           formula    = Ww ~ sex + agew + breed1 + (1 | sire_id1:breed1)
         , data       = ex32
         , REML       = TRUE
         , control    = lme4::lmerControl()
         , start      = NULL
         , verbose    = 0L
         , contrasts  = list(sex = "contr.SAS", breed1 = "contr.SAS")
         , devFunOnly = FALSE
         )
  if (requireNamespace("report", quietly = TRUE)) {
    fm3.4 |>
      report::report()
  }
  if (requireNamespace("emmeans", quietly = TRUE)) {
    emm3.4 <- emmeans::emmeans(fm3.4, ~ breed1, lmer.df = "asymptotic")
    print(emm3.4)
    print(emmeans::contrast(emm3.4, method = "pairwise", adjust = "tukey"))
  }
  summary(fm3.4)
  anova(object = fm3.4, ddf = "Satterthwaite")
}