runexp
Softball Run Expectancy using Markov Chains and Simulation
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.1 |
rolling linux/jammy R-4.5 | runexp_0.2.1.tar.gz |
87.9 KiB |
0.2.1 |
rolling linux/noble R-4.5 | runexp_0.2.1.tar.gz |
87.9 KiB |
0.2.1 |
rolling source/ R- | runexp_0.2.1.tar.gz |
34.2 KiB |
0.2.1 |
latest linux/jammy R-4.5 | runexp_0.2.1.tar.gz |
87.9 KiB |
0.2.1 |
latest linux/noble R-4.5 | runexp_0.2.1.tar.gz |
87.9 KiB |
0.2.1 |
latest source/ R- | runexp_0.2.1.tar.gz |
34.2 KiB |
0.2.1 |
2026-04-26 source/ R- | runexp_0.2.1.tar.gz |
34.2 KiB |
0.2.1 |
2026-04-23 source/ R- | runexp_0.2.1.tar.gz |
34.2 KiB |
0.2.1 |
2026-04-09 windows/windows R-4.5 | runexp_0.2.1.zip |
91.1 KiB |
0.2.1 |
2025-04-20 source/ R- | runexp_0.2.1.tar.gz |
34.2 KiB |