KSTestCriticalValue

`KSTestCriticalValue` calculates the p-value for the given critical value,
based on the respective function from the <code>stats</code> package.

Random simulations of fuzzy numbers are still a challenging problem. The aim of this package is to provide the respective
procedures to simulate fuzzy random variables, especially in the case of the piecewise linear fuzzy numbers (PLFNs,
see Coroianua et al. (2013) <doi:10.1016/j.fss.2013.02.005> for the further details).
Additionally, the special resampling algorithms known as the epistemic bootstrap are provided (see Grzegorzewski and Romaniuk
(2022) <doi:10.34768/amcs-2022-0021>, Grzegorzewski and Romaniuk (2022) <doi:10.1007/978-3-031-08974-9_39>)
together with the functions to apply statistical tests and estimate various characteristics based on the epistemic bootstrap.
The package also includes a real-life data set of epistemic fuzzy triangular numbers.
The fuzzy numbers used in this package are consistent with the 'FuzzyNumbers' package.

Maciej Romaniuk

FuzzySimRes

Simulation and Resampling Methods for Epistemic Fuzzy Data

Przemyslaw Grzegorzewski

Abbas Parchami

Luis Carvalho

KSTestCriticalValue function

<dl><dt>criticalValue</dt>
<dd>Critical value for the one- or two-sample K-S test.</dd>
<dt>n1</dt>
<dd>Size of the first sample.</dd>
<dt>n2</dt>
<dd>Size of the second sample (or NA for the case of the one-sample test).</dd></dl>

Arguments

A simple wrapper to provide the p-value for the K-S one- and two-sample test. — KSTestCriticalValue

<dl>

<dt>criticalValue</dt>
<dd>Critical value for the one- or two-sample K-S test.</dd>


<dt>n1</dt>
<dd>Size of the first sample.</dd>


<dt>n2</dt>
<dd>Size of the second sample (or NA for the case of the one-sample test).</dd>

</dl>

KSTestCriticalValue: A simple wrapper to provide the p-value for the K-S one- and two-sample test.

Description

Usage

Value

Arguments

Details

Examples