case.studies.disc: Discretize 2D data from case studies
In MDgof: Various Methods for the Goodness-of-Fit Problem in D>1 Dimensions
View source: R/case.studies.disc.R
case.studies.disc R Documentation
Discretize 2D data from case studies
Description
This function provides the info necessary to run the case studies for discrete data.
Usage
case.studies.disc(
which,
WithEstimation = FALSE,
nbins = c(5, 5),
nsample = 250
)
Arguments
which
name or number of desired case study.
WithEstimation
= FALSE, case study with or without parameter estimation.
nbins
=c(5, 5) number of bins to use in x and y direction
nsample
= 250, required sample size
Value
a list with needed stuff
MDgof documentation built on Feb. 13, 2026, 1:06 a.m.
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
View source: R/case.studies.disc.R
| case.studies.disc | R Documentation |
Discretize 2D data from case studies
Description
This function provides the info necessary to run the case studies for discrete data.
Usage
case.studies.disc(
which,
WithEstimation = FALSE,
nbins = c(5, 5),
nsample = 250
)
Arguments
which |
name or number of desired case study. |
WithEstimation |
= FALSE, case study with or without parameter estimation. |
nbins |
=c(5, 5) number of bins to use in x and y direction |
nsample |
= 250, required sample size |
Value
a list with needed stuff
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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