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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 |
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