Description Usage Arguments Details Value Note See Also Examples
Actually fit the pim from prepared data
1 2 3 4 | pim.fit(pfd, link = c("logit", "identity", "probit", "inverse", "1/mu^2",
"log"), estimator = estimator.nleqslv(),
varianceestimator = varianceestimator.sandwich(), verbosity = 0,
nicenames = TRUE)
|
pfd |
Object of class |
link |
Name of the link function (defaults to |
estimator |
Function like the result of |
varianceestimator |
Function like the result of |
verbosity |
The higher this value, the more levels of progress and debug information is displayed (note: in R for Windows, turn off buffered output) |
nicenames |
Defaults to |
The presence or absence or form of the items in the return value depends mainly upon
the passed along estimator
and varianceestimator
.
If estimator
fails, no attempt is taken to estimate the covariances (and the matching
items are not in the return value). If varianceestimator
was NULL
, the items
are simply set to NULL
.
If varianceestimator
is executed, but it fails, the error is saved in an additional
item varestimationerror
.
List with (some of) the items:
coefficients |
Parameter estimates. See |
morefitinfo |
Parameter estimation info. See |
fitted.values |
Predicted pseudo-observation values. |
vcov |
Covariance estimates. See |
morevarfitinfo |
Covariance estimation info. See |
Typically, you will not use this method directly (similarly as glm.fit
for glm
)
estimator.nleqslv
varianceestimator.sandwich
1 2 3 4 5 |
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