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Effect
method for "nestedLogit"
objects to create effect displays.as.data.frame
method when
newdata
has one columnpredict.nestedLogit()
now includes the
newdata
data frame as an additional component
(.data
) in its result. Consequently, the
newdata
argument is no longer required in the
as.data.frame
method.This is a major enhancement to the package, adding computations of standard errors and confidence intervals to predicted probabilities and logits.
predict()
method now computes standard errors for
probabilities and logits using the delta method. These can be obtained
for either the response probabilities (and equivalent logits) or for the
predicted log odds of the individual dichotomies.confint()
method for the result of
predict()
generates the corresponding confidence
intervals.as.data.frame()
methods for predicted values, either
for the nested logit model or for the separate dichotomies converts
these to a data frame in long format, handy for using
ggplot()
.confint()
method for predicted probabilities
and logitsplot()
method for "nestedLogit"
objects now plots confidence intervals for predicted probabilities.predict()
methods and focusing exclusively on
`ggplot2().lobstr::tree()
to print nested
listsfig.show="hold"
to keep par(op)
with the code.par()
and options()
calls so as
to not alter user’s workspace.plot()
method now operationallinearHypothesis()
method to give Wald tests
for hypotheses about coefficients or their linear combinations.models()
generic and method to extract separate
models from the "nestedLogit"
objectlogLike()
method, and through it, gets
AIC()
and BIC()
NEWS.md
file to track changes to the
package.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.