Description Usage Arguments Details Value References See Also
View source: R/adj_loglik_methods.R
alrtest
is a helper function to simulate the functions lmtest::waldtest()
and lmtest::lrtest()
for adjusted chantrics
objects. The method can be
employed to compare nested models (see details).
1 |
object |
a |
... |
further object specifications (see details), as well as named
parameters that will be passed to |
This function is a helper function that creates an interface to
anova.chantrics()
that is similar to lmtest::waldtest()
and
lmtest::lrtest()
.
The standard method is to compare the fitted model object object
with the
models in ...
. Instead of passing the fitted models into ...
, other
specifications are possible. Note that the types of specifications cannot be
mixed, except between numerics/characters. The type of the second object
supplied determines the algorithm used.
"chantrics"
objects: When
supplying two or more "chantrics"
objects, they will be sorted as in
anova.chantrics()
. Then, the ALRTS will be computed consecutively between
the two neighbouring models. Note that all models must be nested. For
details refer to anova.chantrics()
.
"numeric"
: If the second
object is "numeric"
or "character"
, then "numeric"
objects
corresponding element in attr(terms(object1), "term.labels")
will be
turned into their corresponding "character"
element and will be handled
as in "character"
below.
"character"
: If the second object is
"numeric"
or "character"
, then the "character"
objects are
consecutively included in an update formula like update(object1, . ~ . - object2)
"formula"
: If the second object is a "formula"
, then
the second model will be computed as update(object1, object2)
.
Then, the adjusted likelihood ratio test statistic (ALRTS), as described in
Section 3.5 of Chandler and Bate
(2007), is computed by
anova.chantrics()
.
If a single unnamed object is passed in ...
, sequential ANOVA is
performed on object
.
An object of class "anova"
inheriting from class "data.frame"
.
The columns are as follows:
Resid.df |
The residual number of degrees of freedom in the model. |
df |
The increase in residual degrees of freedom with respect to the model in the row above. |
ALRTS |
The adjusted likelihood ratio statistic. |
Pr(>ALRTS) |
The p-value of the test that the model above is a "significantly better" model as the one in the current row. |
R. E. Chandler and S. Bate, Inference for clustered data using the independence loglikelihood, Biometrika, 94 (2007), pp. 167–183. doi: 10.1093/biomet/asm015.
anova.chantrics()
for the implementation of the computations of
the test statistics.
lmtest::waldtest()
and lmtest::lrtest()
for syntax.
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