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modehunt
View on CRAN: Click
here
Download and install modehunt package within the R console
Install from CRAN:
install.packages("modehunt")
Install from Github:
library("remotes")
install_github("cran/modehunt") Install by package version:
library("remotes")
install_version("modehunt", "1.0.8") Attach the package and use:
library("modehunt")
Maintained by
Kaspar Rufibach
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2007-05-29
Latest Update: 2025-04-19
Description:
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).
How to cite:
Kaspar Rufibach (2007). modehunt: Multiscale Analysis for Density Functions. R package version 1.0.8, https://cran.r-project.org/web/packages/modehunt. Accessed 05 Jun. 2026.
Previous versions and publish date:
Other packages that cited modehunt R package
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Other R packages that modehunt depends,
imports, suggests or enhances
Complete documentation for modehunt
Functions, R codes and Examples using
the modehunt R package
Some associated functions: blocks . criticalValuesAll . criticalValuesApprox . cvModeAll . cvModeApprox . cvModeBlock . lin . minimalIntervals . modeHunting . modeHuntingApprox . modeHuntingBlock . modehunt-package . myRound . preProcessX .
Some associated R codes: Full modehunt package functions and examples
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