reexports

as.stepfun

knots

predict

plot

na.pass

These objects are imported from other packages. Follow the links
below to see their documentation.<dl class="dl-horizontal">
 <dt>graphics</dt><dd><code><a rd-options="graphics" href="/link/plot?package=statip&version=0.2.3&to=graphics" data-mini-rdoc="graphics::plot">plot</a></code></dd><dt>stats</dt><dd><code><a rd-options="stats" href="/link/as.stepfun?package=statip&version=0.2.3&to=stats" data-mini-rdoc="stats::as.stepfun">as.stepfun</a></code>, <code><a rd-options="stats" href="/link/knots?package=statip&version=0.2.3&to=stats" data-mini-rdoc="stats::knots">knots</a></code>, <code><a rd-options="stats" href="/link/na.pass?package=statip&version=0.2.3&to=stats" data-mini-rdoc="stats::na.pass">na.pass</a></code>, <code><a rd-options="stats" href="/link/predict?package=statip&version=0.2.3&to=stats" data-mini-rdoc="stats::predict">predict</a></code>, <code><a rd-options="stats" href="/link/predict?package=statip&version=0.2.3&to=stats" data-mini-rdoc="stats::predict">predict</a></code></dd>
</dl>

internal

A collection of miscellaneous statistical functions for
probability distributions: 'dbern()', 'pbern()', 'qbern()', 'rbern()' for
the Bernoulli distribution, and 'distr2name()', 'name2distr()' for
distribution names;
probability density estimation: 'densityfun()';
most frequent value estimation: 'mfv()', 'mfv1()';
other statistical measures of location: 'cv()' (coefficient of variation),
'midhinge()', 'midrange()', 'trimean()';
construction of histograms: 'histo()', 'find_breaks()';
calculation of the Hellinger distance: 'hellinger()';
use of classical kernels: 'kernelfun()', 'kernel_properties()';
univariate piecewise-constant regression: 'picor()'.

reexports: Objects exported from other packages

Description

Arguments