LambertW_fitmethods  R Documentation 
S3 methods (print
, plot
, summary
, etc.) for
LambertW_fit
class returned by the MLE_LambertW
or
IGMM
estimators.
plot.LambertW_fit
plots a (1) histogram, (2) empirical density of the
data y
. These are compared (3) to the theoretical F_X(x \mid
\widehat{\boldsymbol β}) and (4) Lambert W \times
F_X(y \mid \widehat{\boldsymbol β}) densities.
print.LambertW_fit
prints only very basic information about
\widehat{θ} (to prevent an overload of data/information in the
console when executing an estimator).
print.summary.LambertW_fit
tries to be smart about formatting the
coefficients, standard errors, etc. and also displays "significance stars"
(like in the output of summary.lm
).
summary.LambertW_fit
computes some auxiliary results from
the estimate such as standard errors, theoretical support (only for
type="s"
), skewness tests (only for type="hh"
), etc. See
print.summary.LambertW_fit
for print out in the console.
## S3 method for class 'LambertW_fit' plot(x, xlim = NULL, show.qqplot = FALSE, ...) ## S3 method for class 'LambertW_fit' print(x, ...) ## S3 method for class 'summary.LambertW_fit' print(x, ...) ## S3 method for class 'LambertW_fit' summary(object, ...)
x, object 
object of class 
xlim 
lower and upper limit of xaxis for cdf and pdf plots. 
show.qqplot 
should a Lambert W \times F QQ plot be displayed? Default: 
... 
further arguments passed to or from other methods. 
summary
returns a list of class summary.LambertW_fit
containing
call 
function call 
coefmat 
matrix with 4 columns: \widehat{θ}, its standard errors, tstatistic, and twosided pvalues 
distname 
see Arguments 
n 
number of observations 
data 
original data ( 
input 
backtransformed input data 
support 
support of output random variable Y 
data.range 
empirical data range 
method 
estimation method 
hessian 
Hessian at the optimum. Numerically obtained for 
p_m1, p_m1n 
Probability that one (or n) observation were caused by input
from the nonprincipal branch (see 
symmetry.p.value 
pvalue from Wald test of identical left and right tail parameters (see

# See ?LambertWpackage
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