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"ael" option has been added in the calibrate argument of elt() for adjusted empirical likelihood calibration.Some function arguments now utilize the checkmate package for validation.
The package vignette has been updated.
Removed el_pairwise() and associated methods.
Removed sigTests() for objects inheriting from SummaryLM.
el_glm() accepts quasipoisson family with "sqrt" link function for the argument family.sigTests() is deprecated in favor of coef() for an object that inherits from SummaryLM and will be removed in a future release.
logLik() is removed.
confint() is applicable to an EMLT object to produce simultaneous confidence intervals.
All model objects gain control slot of ControlEL class. All methods that apply to these objects inherit control unless it is overwritten by the user explicitly.
summary() is applicable to an object that inherits from EL, ELT, and EMLT.
A more informative message is printed regarding the convergence status.
optim slot in all model or summary objects gains a single logical element cstr that shows whether a constrained EL computation is involved or not.
logLik() is deprecated and will be removed in a future release.confreg() checks whether parm matches the parameters in object when a character vector is specified for parm.New accessor method logProb() extracts a model’s log probabilities of empirical likelihood.
el_lm() and el_glm() gain an argument offset.
el_glm() accepts quasipoisson family with "identity" link function for the argument family.
elt() accepts a character vector for the argument lhs, allowing a symbolic description of a hypothesis.
eltmt() accepts a character vector as an element of the argument lhs, allowing a symbolic description of hypotheses.
plot() applies to an object that inherits from EL to plot empirical likelihood displacement values versus observation index.
New dataset thiamethoxam added.
coef() and getDF() is applicable to an object of class EMLT.
print() shows the tested hypothesis when applied to an object of class ELT.
print() shows the tested hypotheses, the estimates, and marginal degrees of freedom when applied to an object of class ELMT. The description of the hypotheses and the estimates are printed only when the marginal degrees of freedom are all one.
"boot" option in the calibrate argument of elt() yields a more reliable result when applied to an object that inherits from LM.
Internal routines for projection operation do not compute an explicit inverse (thanks to @awstringer1).
elmt() returns a correct critical value when applied to an object of class QGLM.
"boot" option in the calibrate argument of elt() works with an object of class SD.
el_glm() accepts quasipoisson family with "log" link function for the argument 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 a more accurate result in el_glm().
print() 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 a one-way analysis of variance.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.