NEWS.md
"ael" option has been added in the calibrate argument of elt() for adjusted empirical likelihood calibration.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_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).
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()).
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.
lht() accepts both numeric vector and matrix for lhs and rhs arguments.
OpenMP parallelization is available for confint() by specifying nthreads through control argument.
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 deprecated in favor of el_lm(). It will be removed in a future release.el_lm() performs empirical likelihood tests for linear models.