crossrun package - RDocumentation

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Joint distribution of number of crossings and longest run.

The inner workings of crossrun are described in this article in PLOS ONE, https://journals.plos.org/plosone/article/comments?id=10.1371/journal.pone.0223233 . A non-technical description of the article is available at Science Trends, https://sciencetrends.com/improving-tools-for-quality-improvement-crossings-runs-and-crossrun/ .

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install.packages('crossrun')

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184

Version

0.1.1

License

GPL-3

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Repository

https://github.com/ToreWentzel-Larsen/crossrun

Maintainer

Tore Wentzel-Larsen

Last Published

April 13th, 2022

Functions in crossrun (0.1.1)

Joint Distribution for Crossings and Runs

Check of joint probabilities by simulations

Exact Joint Probabilities for Low n

Column-Wise Cumulative Sums

Simulation of Independent Bernoulli Observations

Joint probabilities, n=14, success probability 0.6

Joint probabilities, n=14, around the empirical median

Joint probabilities, n=60, symmetric case

Joint probabilities, n=60, around the empirical median

Joint probabilities, n=100, success probability 0.6

Joint probabilities, n=100, symmetric case

Joint probabilities, 60, success probability 0.6

Joint probabilities, n=14, symmetric case

wrapper for crossrunbin, success probability=pnorm(shift).

Joint Distribution for Crossings and Runs Using the Empirical Median.

Row-wise Cumulative Sums

Joint Distribution for Crossings and Runs, Varying Success Probability.

Joint Distribution for Crossings and Runs, autocorrelated Sequence

Continuation of an existing sequence of joint probabilities for crossings and longest run, based on the empirical median.

Box Cumulative Sums

Joint Probabilities for Crossings and Runs, Symmetric Case

Number of Crossings and Longest Run