Package: fixedTimeEvents 1.0.1

fixedTimeEvents: The Distribution of Distances Between Discrete Events in Fixed Time

Distribution functions and test for over-representation of short distances in the Liland distribution. Simulation functions are included for comparison.

Authors:Kristian Hovde Liland [aut, cre], Lars Snipen [ctb]

fixedTimeEvents_1.0.1.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
fixedTimeEvents/json (API)

# Install 'fixedTimeEvents' in R:

install.packages('fixedTimeEvents', repos = c('https://khliland.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/khliland/fixedtimeevents/issues

On CRAN:

3.78 score 12 scripts 239 downloads 17 exports 0 dependencies

Last updated from:0d45105196. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	110
source / vignettes	OK	145
linux-release-x86_64	OK	159
macos-release-arm64	OK	100
macos-oldrel-arm64	OK	104
windows-devel	OK	75
windows-release	OK	71
windows-oldrel	OK	66
wasm-release	OK	720

Exports:dLiland facL Liland Liland.crit Liland.pow Liland.test NA2NaN pLiland print.Ltest qLiland rLiland rrLiland simLiland simLiland2 simLilandMu summary.Ltest validate.Rr

Dependencies:

The Distribution of Distances Between Discrete Events in Fixed Time

Introduction | Example | Probability mass | Testing | Simulated distribution

Rendered fromfixedTimeEvents.Rmdusingknitr::rmarkdown

Last update: 2016-10-14
Started: 2016-10-14

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
The distribution of distances between discrete events in fixed time/space (the Liland distribution)	dLiland fixedTimeEvents pLiland qLiland rLiland
Approximated logarithm of factorials	facL
Properties of the Liland distribution	Liland
A test for over represented short distances in the Liland distribution.	Liland.crit Liland.pow Liland.test print.Ltest summary.Ltest
Translation of values from NA (not available) to NaN (not a number)	NA2NaN
Random Bernoulli trials for Liland distributed mean numbers.	rrLiland
Simulations for the Liland distribution.	simLiland simLiland2 simLilandMu
Validation of Liland distribution parameters.	validate.Rr