R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
segmag
View on CRAN: Click
here
Download and install segmag package within the R console
Install from CRAN:
install.packages("segmag")
Install from Github:
library("remotes")
install_github("cran/segmag")
Install by package version:
library("remotes")
install_version("segmag", "1.2.4")
Attach the package and use:
library("segmag")
Maintained by
Frank Papenmeier
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-10-17
Latest Update: 2016-08-11
Description:
Contains functions that help to determine event
boundaries in event segmentation experiments by bootstrapping a critical
segmentation magnitude under the null hypothesis that all key presses were
randomly distributed across the experiment. Segmentation magnitude is
defined as the sum of Gaussians centered at the times of the segmentation
key presses performed by the participants. Within a participant, the maximum
of the overlaid Gaussians is used to prevent an excessive influence of a
single participant on the overall outcome (e.g. if a participant is pressing
the key multiple times in succession). Further functions are included, such
as plotting the results.
How to cite:
Frank Papenmeier (2014). segmag: Determine Event Boundaries in Event Segmentation Experiments. R package version 1.2.4, https://cran.r-project.org/web/packages/segmag. Accessed 03 Feb. 2025.
Other packages that cited segmag R package
View segmag citation profile
Other R packages that segmag depends,
imports, suggests or enhances
Complete documentation for segmag
Functions, R codes and Examples using
the segmag R package
Some associated functions: bootstrap_critical_cutoffs . flag_maxima_positions . get_eb_times . get_eb_times_segmag_diff . plot.segmag . segmag .
Some associated R codes: RcppExports.R . Full segmag package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by
helping add
Reviews / comments / questions /suggestions ↴↴↴
Today's Hot Picks in Authors and Packages
Bolstad2
A set of R functions and data sets for the book "Understanding Computational Bayesian Statistics." T ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: James Curran (view profile)
nextGenShinyApps
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
SMR
Computes the studentized midrange distribution (pdf, cdf and quantile) and generates random numbers. ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Daniel Furtado Ferreira (view profile)
cmce
Implements the Bayesian calibration model described
in Pratola and Chkrebtii (2018) ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Matthew T. Pratola (view profile)
sgof
Seven different methods for multiple testing problems. The SGoF-type methods (see for example, Carva ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Irene Castro Conde (view profile)
metaboData
Data sets from a variety of biological sample matrices,
analysed using a number of mass spectrometr ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Jasen Finch (view profile)