AllClasses.R AllGenerics.R alapl.R bms_ortho.R cil.R cox.R
derivatives_nlps.R distribs.R dmom.R gam.R greedyGLM.R
infocriteria.R initParameters.R msPriorSpec.R modelsearch.R
modelSelection.R modelSelectionGLM.R mombf.R normaliwish.R
normmix.R nlpMarginal.R postMode.R rmom.R RcppExports.R
testfunction.R

Moment-Matching Methods for Weighted Sums of Chi-Squared Random
Variables
A collection of moment-matching methods for computing the cumulative distribution function of a positively-weighted sum of chi-squared random variables. Methods include the Satterthwaite-Welch method, Hall-Buckley-Eagleson method, Wood's F method, and the Lindsay-Pilla-Basak method.

Several classes for moment-based models are defined. The classes are defined for moment conditions derived from a single equation or a system of equations. The conditions can also be expressed as functions or formulas. Several methods are also offered to facilitate the development of different estimation techniques. The methods that are currently provided are the Generalized method of moments (Hansen 1982; <doi:10.2307/1912775>), for single equations and systems of equation, and  the Generalized Empirical Likelihood (Smith 1997; <doi:10.1111/j.0013-0133.1997.174.x>, Kitamura 1997; <doi:10.1214/aos/1069362388>, Newey and Smith 2004; <doi:10.1111/j.1468-0262.2004.00482.x>, and Anatolyev 2005 <doi:10.1111/j.1468-0262.2005.00601.x>).
'allClasses.R' 'validity.R' 'momentData.R'
'momentModel-methods.R' 'momentModel.R'
'momentWeights-methods.R' 'gmmfit-methods.R'
'specTest-methods.R' 'summary-methods.R' 'rModel-methods.R'
'hypothesisTest-methods.R' 'sysMomentModel.R'
'sysMomentModel-methods.R' 'rsysMomentModel-methods.R'
'sgmmfit-methods.R' 'gmm4.R' 'gel.R' 'gelfit-methods.R'
'gel4.R'

Moments, skewness, kurtosis and related tests
Functions to calculate: moments, Pearson's kurtosis,
Geary's kurtosis and skewness; tests related to them (Anscombe-Glynn,
D'Agostino, Bonett-Seier).

Moments, cumulants, skewness, kurtosis and related tests
Lukasz Komsta <luke@novum.am.lublin.pl>, Frederick Novomestky <fnovomes@poly.edu>