minimalIntervals

Either one of the sets $\mathcal{D}^+$ or $\mathcal{D}^-$ as output by one of the functions
                <code><a rd-options="" href="/link/modeHunting?package=modehunt&version=1.0.7" data-mini-rdoc="modehunt::modeHunting">modeHunting</a></code>, <code><a rd-options="" href="/link/modeHuntingApprox?package=modehunt&version=1.0.7" data-mini-rdoc="modehunt::modeHuntingApprox">modeHuntingApprox</a></code>, or <code><a rd-options="" href="/link/modeHuntingBlock?package=modehunt&version=1.0.7" data-mini-rdoc="modehunt::modeHuntingBlock">modeHuntingBlock</a></code>.

ints

In general, all intervals that have a test statistic bigger than the respective critical value
are output. For a given set of intervals $\mathcal{K}$, all intervals $J$ such that $\mathcal{K}$ 
does not contain a proper subset of $J$ are called <em>minimal</em>. Given $\mathcal{K}$, this function 
computes the set of minimal intervals.

htest

nonparametric

Given independent and identically distributed observations X(1), ..., X(n) from a density f,
provides five methods to perform a multiscale analysis about f as well as the necessary critical
values. The first method, introduced in Duembgen and Walther (2008), provides simultaneous confidence statements
for the existence and location of local increases (or decreases) of f, based on all intervals I(all) spanned by
any two observations X(j), X(k). The second method approximates the latter approach by using only a subset of
I(all) and is therefore computationally much more efficient, but asymptotically equivalent. Omitting the additive
correction term Gamma in either method offers another two approaches which are more powerful on small scales and
less powerful on large scales, however, not asymptotically minimax optimal anymore. Finally, the block procedure is a
compromise between adding Gamma or not, having intermediate power properties. The latter is again asymptotically
equivalent to the first and was introduced in Rufibach and Walther (2010).

minimalIntervals: Compute set of minimal intervals

Description

Usage

Arguments

Value

References