Exam5.3 {StroupGLMM} | R Documentation |
Example 5.3 from Generalized Linear Mixed Models: Modern Concepts, Methods and Applications by Walter W. Stroup(p-172)
Description
Exam5.3 Inference using empirical standard error with different Bias connection
Author(s)
Muhammad Yaseen (myaseen208@gmail.com)
Adeela Munawar (adeela.uaf@gmail.com)
References
Stroup, W. W. (2012). Generalized Linear Mixed Models: Modern Concepts, Methods and Applications. CRC Press.
See Also
Examples
data(DataSet4.1)
DataSet4.1$trt <- factor(x = DataSet4.1$trt)
DataSet4.1$block <- factor( x = DataSet4.1$block)
##---REML estimates on page 172
library(lme4)
# library(lmerTest)
Exam5.3REML <-
lmer(
formula = y ~ trt + (1|block)
, data = DataSet4.1
, REML = TRUE
# , control = lmerControl()
, start = NULL
# , verbose = 0L
# , subset
# , weights
# , na.action
# , offset
, contrasts = NULL
, devFunOnly = FALSE
# , ...
)
##---Standard Error Type "Model Based" with no Bias Connection
AnovaExam5.3REML <- anova( object = Exam5.3REML )
AnovaExam5.3REML
##---Standard Error Type "Model Based" with "Kenward-Roger approximation" Bias Connection
# library(pbkrtest)
anova( object = Exam5.3REML, ddf = "Kenward-Roger")
##---ML estimates on page 172
Exam5.3ML <-
lmer(
formula = y ~ trt + ( 1|block )
, data = DataSet4.1
, REML = FALSE
# , control = lmerControl()
, start = NULL
# , verbose = 0L
# , subset
# , weights
# , na.action
# , offset
, contrasts = NULL
, devFunOnly = FALSE
# , ...
)
##---Standard Error Type "Model Based" with no Bias Connection
AnovaExam5.3ML <- anova( object = Exam5.3ML )
AnovaExam5.3ML
##---Standard Error Type "Model Based" with "Kenward-Roger approximation" Bias Connection
anova( object = Exam5.3ML, ddf = "Kenward-Roger")
[Package StroupGLMM version 0.1.0 Index]