Package: runexp
Type: Package
Title: Softball Run Expectancy using Markov Chains and Simulation
Version: 0.2.1
Authors@R: c(
    person("Annie", "Sauer", role = c("aut", "cre"), email = "anniees@vt.edu"), 
    person("Sierra", "Merkes", role = "aut", email = "smerkes@vt.edu"))
Depends: R (>= 3.6)
Description: 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. 
License: LGPL
LazyData: true
Encoding: UTF-8
Suggests: xml2, rvest
Imports: doParallel, foreach, parallel
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-03-22 00:59:20 UTC; anniesauer
Author: Annie Sauer [aut, cre],
  Sierra Merkes [aut]
Maintainer: Annie Sauer <anniees@vt.edu>
Repository: CRAN
Date/Publication: 2021-03-22 05:10:02 UTC
Built: R 4.6.0; ; 2026-04-27 19:59:13 UTC; unix
