el_glm() accepts quasipoisson
family.
New accessor methods added (chisq(),
critVal(), getDF(), getOptim(),
sigTests(), logL(), and
pVal()).
conv() is applicable to an object returned by
summary().
print() shows class-specific information.
p.value returned by el_eval() is
renamed to pval for consistency with other
functions.
confint() and confreg() are not applicable
to an object whose data is NULL.el_mean() takes arguments in a different order to
comply with the ‘tidyverse’ style. It takes the data argument
x first, followed by the parameter specification
par as el_mean(x, par).
lht() is renamed to elt().
model argument in el_mean(),
el_lm(), and el_glm() are removed. Use
keep_data in el_control().
New package dependencies are added (BH, dqrng, and graphics).
New elt() replaces lht(). It accepts
additional arguments alpha and
calibrate.
New el_sd() performs empirical likelihood test for
the standard deviation.
New elmt() tests multiple hypotheses with empirical
likelihood.
New weights() extracts the re-scaled weights from a
model.
New formula() extracts the model formula used from a
model.
New nobs() extracts the number of observations from
a model.
New conv() extracts the convergence status from a
model.
New logLR() extracts the log empirical likelihood
ratio from a model.
el_control() gains additional arguments
verbose, keep_data, seed,
b, and m.
cv argument in confint() and
confreg() defaults to NULL. If
non-NULL, level is ignored.
probit link produces more accurate result in
el_glm()
print() method for an EL object shows
whether the data are weighted or not.
All row or column names (if any) of input data are preserved in a
fitted EL object.
confint() and confreg() check if the
cv argument is compatible with the th value
set by control_el().lht() accepts both numeric vector and matrix for
lhs and rhs arguments.
OpenMP parallelization is available for confint() by
specifying nthreads through control
argument.
el_test() is removed.
el_pairwise() is deprecated and will be removed in a
future release.
S4 classes, generics, and methods are adopted throughout the package.
New confreg() constructs confidence
regions.
New eld() computes empirical likelihood displacement
values.
New el_control() the specifies control
argument.
New el_glm() performs empirical likelihood tests to
generalized linear models. More families and link functions will be
supported in a future release.
confint() gains cv argument for a
user-supplied critical value.
el_aov() is removed.
el_test() is deprecated and will be removed in a
future release.
New lht() performs linear hypothesis
testing.
New confint() constructs confidence
intervals.
New logLik() extracts empirical
log-likelihood.
el_aov() is deprecated in favor of
el_lm(). It will be removed in a future release.el_eval() is added for direct computation with
custom estimating functions.
el_mean() and el_lm() accepts an
optional weights argument for weighted EL. Arguments on
optimization are now handled by a new control argument. It
will be used in other functions in future releases.
el_lm() performs empirical likelihood tests for
linear models.el_aov() performs one-way analysis of
variance.