FitUltD

The goal of FitUltD is to fit data that can’t be fitted with ordinary density functions

Installation

You can install the released version of FitUltD from CRAN with:

install.packages("FitUltD")

Example

This is a basic example which shows you how to solve a common problem:

library(FitUltD)
FIT1<-FDistUlt(c(rnorm(73,189,12),rweibull(82,401,87),rgamma(90,40,19)), plot=TRUE)
#> Error in computing default starting values.
#> Error in computing default starting values.
#> Error in computing default starting values.
#> Error in computing default starting values.
#> Error in computing default starting values.
#> Error in computing default starting values.
#> Error in computing default starting values.
#> Error in computing default starting values.
#> Error in computing default starting values.
#> Error in computing default starting values.
#> Error in computing default starting values.
#> Error in computing default starting values.

What is special about using README.Rmd instead of just README.md? You can include R chunks like so:

FIT1[[3]]
#>               Distribucion Prop_dist    AD_p.v    KS_p.v Chs_p.v
#> AD4     lnorm(5.24, 0.077) 0.2979592 0.9675941 0.9298268       0
#> AD12   norm(86.871, 0.277) 0.3346939 0.6223739 0.7982842       0
#> AD2  gamma(48.145, 22.723) 0.3673469 0.9556936 0.9826995       0

You’ll still need to render README.Rmd regularly, to keep README.md up-to-date.

You can also embed plots, for example:

In that case, don’t forget to commit and push the resulting figure files, so they display on GitHub!