Examp2.5.2.1: Examp2.5.2.1 from Duchateau, L. and Janssen, P. and Rowlands,...

Description Author(s) References See Also Examples

Description

Examp2.5.2.1 is used for inspecting probability distribution and to define a plausible process through linear models and generalized linear models.

Author(s)

  1. Muhammad Yaseen (myaseen208@gmail.com)

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

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#-------------------------------------------------------------
## Example 2.5.2.1 p-68
#-------------------------------------------------------------
 # PROC MIXED DATA=ex125;
 # CLASS drug dose region;
 # MODEL pcv=drug dose drug*dose / solution covb;
 # RANDOM region drug*region;
 # LSMEANS drug*dose;
 # RUN;
 
library(lme4)
str(ex125)

fm2.10 <- 
  lme4::lmer(
         formula    = Pcv ~ dose*Drug + (1|Region/Drug)
       , data       = ex125
       , REML       = TRUE
       , control    = lmerControl()
       , start      = NULL
       , verbose    = 0L
    #  , subset
    #  , weights
    #  , na.action
    #  , offset
       , contrasts  = list(dose = "contr.SAS", Drug = "contr.SAS")
       , devFunOnly = FALSE
    #  , ...
       )                       
summary(fm2.10)
anova(fm2.10)
summary(fm2.10)$vcov
library(lmerTest)  
lmerTest::lsmeansLT(model = fm2.10, test.effs="dose:Drug")


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