FDist {FitUltD}

Fit of univariate distributions with censored data ignored by default or can be inputed.

Description

Fit of univariate distributions with censored data ignored by default or can be inputed.

Usage

FDist(X, gen = 1, Cont = TRUE, inputNA, plot = FALSE,
  p.val_min = 0.05, crit = 2, DPQR = TRUE)

Arguments

X

A random sample to be fitted.

gen

A positive integer, indicates the sample length to be generated by the fit, 1 by default.

Cont

TRUE, by default the distribution is considered as continuos.

inputNA

A number to replace censored values, if is missing, only non-censored values will be evaluated.

plot

FALSE. If TRUE, a plot showing the data distribution will be given.

p.val_min

0.05, minimum p.value for Anderson Darling and KS Test to non-reject the null hypothesis and continue with the process.

crit

A positive integer to define which test will use. If 1, show the distributions which were non-rejected by the Anderson Darling or Kolmogorov Smirnov tests, in other cases the criterion is that they mustn't be rejected by both tests.

DPQR

TRUE, creates the distribution function, density and quantile function with the names dfit, pfit and qfit.

Value

Calculate the distribution name with parameters, a function to reproduce random values from that distribution, a numeric vector of random numbers from that function, Anderson Darling and KS p.values, a plot showing the distribution difference between the real sample and the generated values and a list with the random deviates genetator, the distribution function, density and quantile function

Examples

set.seed(31109)
FIT1<-FDist(rnorm(1000,10),p.val_min=.03,crit=1,plot=TRUE)

#Random Variable
FIT1[[1]]

#Random numbers generator
FIT1[[2]]()

#Random sample
FIT1[[3]]

#Goodness of fit tests results
FIT1[[4]]

#Plot
FIT1[[5]]

#Functions r, p, d, q
FIT1[[6]]