EM Algorithm for the General Model

Computes the expected score as the aiming location varies across the board, using the specified covariance matrix and the general model for dart throws.

1 | ```
generalExpScores(Sig)
``` |

`Sig` |
The covariance matrix. |

`e` |
The matrix of expected scores. |

Ryan Tibshirani

1 2 3 4 5 6 7 | ```
# Generate the matrix of expected scores if my covariance is
# Sig=c(15^2,30^2,0), in the general model. This will take a
# couple of seconds.
e = generalExpScores(Sig=(c(15^2,30^2,0)))
# Draw a heatmap!
drawHeatmap(e)
``` |

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.