ks_test_stat

Internal function not intended to be called directly by users.

Implements the Lilliefors-corrected Kolmogorov-Smirnov test for use
in goodness-of-fit tests, suitable when population parameters are unknown and
must be estimated by sample statistics. P-values are estimated by simulation.
Can be used with a variety of continuous distributions, including normal,
lognormal, univariate mixtures of normals, uniform, loguniform, exponential,
gamma, and Weibull distributions. Functions to generate random numbers and
calculate density, distribution, and quantile functions are provided for use
with the log uniform and mixture distributions.

Phil NovackGottshall

KScorrect

Lilliefors-Corrected Kolmogorov-Smirnov Goodness-of-Fit Tests

Phil Novack-Gottshall

ks_test_stat function

<dl><dt>x</dt>
<dd>a numeric vector of data values.</dd>
<dt>y</dt>
<dd>a character string naming a cumulative distribution function or an
actual cumulative distribution function such as pnorm. Only continuous CDFs
are valid. See <code>LcKS</code> for accepted functions.</dd>
<dt>...</dt>
<dd>parameters of the distribution specified (as a character string)
by y.</dd></dl>

Arguments

Internal KScorrect Function. — ks_test_stat

<dl>

<dt>x</dt>
<dd>a numeric vector of data values.</dd>


<dt>y</dt>
<dd>a character string naming a cumulative distribution function or an
actual cumulative distribution function such as pnorm. Only continuous CDFs
are valid. See <code>LcKS</code> for accepted functions.</dd>


<dt>...</dt>
<dd>parameters of the distribution specified (as a character string)
by y.</dd>

</dl>

ks_test_stat: Internal KScorrect Function.

Description

Usage

Arguments

Details

See Also