Softball Run Expectancy using Markov Chains and Simulation R package runexp version 0.2.1 CRAN Task View: SportsAnalytics (https://CRAN.R-project.org/view=SportsAnalytics) 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. Software Depends: R (>= 3.6) Imports: doParallel, foreach, parallel Suggests: xml2, rvest Annie Sauer <anniees@vt.edu> Comprehensive R Archive Network (CRAN) Annie Sauer [aut, cre], Sierra Merkes [aut] LGPL 2021-03-22 application/tgz https://CRAN.R-project.org/package=runexp doi:10.32614/CRAN.package.runexp