Lambert W parameter estimation, plots, simulation (Skew Analysis)

Documentation for package ‘LambertW’ version 0.1.6

LambertW-package	Lambert W Random Variables
AA	Australian athletes data set
d1W	First derivative of W (principal branch)
d1W_1	First derivative of W (non-principal branch)
delta.01	Calculate delta for zero mean, unit variance output
delta.GMM	GMM estimation of delta only
delta.test	Test for significance of delta
dLambertW	Probability Density Function
get.input	Back-transform Y to X
H	Underlying transformation H
H_delta	Transformation with delta
IGMM	Iterative Generalized Method of Moments - IGMM
IGMM.default	Iterative Generalized Method of Moments (IGMM)
KS.test.t	One-sided Kolmogorov - Smirnov test for student-t distribution
LambertW	Lambert W Random Variables
mc	MedCouple Estimator
MLE_LambertW	Maximum Likelihood Estimation
MLE_LambertW.default	Maximum Likelihood Estimation
mom.LambertW.U.Gauss	Moments of Z for Standard Gaussian Input
mom.LambertW.X.Gauss	Moments of Y for Gaussian Input
normfit	Graphical and stastical Gaussianity check
pLambertW	Cumulative Distribution Function
plot.LWest	Plot Lambert W Estimation Results
print.summary.LWest	Summary of Estimation Results
p_1	Non-principal branch probability
qLambertW	Quantile function
qqLambertW	QQ - Plot for Lambert W
rLambertW	Random Generation of Lambert W RV
sd	Standard deviation
summary.LWest	Summary of Lambert W estimation
support	Truncated support
vec.norm	Euclidean norm
W	Lambert W function (principal branch)
W_1	Lambert W function (non-principal branch)
W_delta	Inverse transformation for Lambert W random variables
W_delta_1	Inverse transformation (non-principal)