The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Implements two methods of estimating runs scored in a softball scenario: (1) theoretical expectation using discrete Markov chains and (2) empirical distribution using multinomial random simulation. Scores are based on player-specific input probabilities (out, single, double, triple, walk, and homerun). Optional inputs include probability of attempting a steal, probability of succeeding in an attempted steal, and an indicator of whether a player is "fast" (e.g. the player could stretch home). These probabilities may be calculated from common player statistics that are publicly available on team's webpages. Scores are evaluated based on a nine-player lineup and may be used to compare lineups, evaluate base scenarios, and compare the offensive potential of individual players. Manuscript forthcoming. See Bukiet & Harold (1997) <doi:10.1287/opre.45.1.14> for implementation of discrete Markov chains.
| Version: | 0.2.1 |
| Depends: | R (≥ 3.6) |
| Imports: | doParallel, foreach, parallel |
| Suggests: | xml2, rvest |
| Published: | 2021-03-22 |
| DOI: | 10.32614/CRAN.package.runexp |
| Author: | Annie Sauer [aut, cre], Sierra Merkes [aut] |
| Maintainer: | Annie Sauer <anniees at vt.edu> |
| License: | LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL] |
| NeedsCompilation: | no |
| Materials: | README |
| In views: | SportsAnalytics |
| CRAN checks: | runexp results |
| Reference manual: | runexp.pdf |
| Package source: | runexp_0.2.1.tar.gz |
| Windows binaries: | r-devel: runexp_0.2.1.zip, r-release: runexp_0.2.1.zip, r-oldrel: runexp_0.2.1.zip |
| macOS binaries: | r-release (arm64): runexp_0.2.1.tgz, r-oldrel (arm64): runexp_0.2.1.tgz, r-release (x86_64): runexp_0.2.1.tgz, r-oldrel (x86_64): runexp_0.2.1.tgz |
| Old sources: | runexp archive |
Please use the canonical form https://CRAN.R-project.org/package=runexp to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.