waldts: Wald Test of Nested GEE Models
In AnestisTouloumis/multgee: GEE Solver for Correlated Nominal or Ordinal Multinomial Responses
waldts R Documentation
Wald Test of Nested GEE Models
Description
Comparing two nested GEE models by carrying out a Wald test.
Usage
waldts(object0, object1)
Arguments
object0
A GEE model of the class "LORgee".
object1
A GEE model of the class "LORgee".
Details
The two GEE models implied by object0 and object1 must be
nested.
Author(s)
Anestis Touloumis
Examples
data(housing)
set.seed(1)
fitmod1 <- nomLORgee(y ~ factor(time) * sec, data = housing, id = id,
repeated = time)
set.seed(1)
fitmod0 <- update(fitmod1, formula = y ~ factor(time) + sec)
waldts(fitmod0, fitmod1)
AnestisTouloumis/multgee documentation built on March 19, 2024, 9:55 p.m.
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| waldts | R Documentation |
Wald Test of Nested GEE Models
Description
Comparing two nested GEE models by carrying out a Wald test.
Usage
waldts(object0, object1)
Arguments
object0 |
A GEE model of the class " |
object1 |
A GEE model of the class " |
Details
The two GEE models implied by object0 and object1 must be
nested.
Author(s)
Anestis Touloumis
Examples
data(housing)
set.seed(1)
fitmod1 <- nomLORgee(y ~ factor(time) * sec, data = housing, id = id,
repeated = time)
set.seed(1)
fitmod0 <- update(fitmod1, formula = y ~ factor(time) + sec)
waldts(fitmod0, fitmod1)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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