Obtain an Optimal Vector of Sample Sizes Given Constraint on...

`runBaB`

calls the branch and bound algorithm.
The branch and bound algorithm is coded in `C`

.

1 |

`u` |
A vector of values. Can be obtained through |

`q` |
A vector of costs. Can be obtained through |

`M` |
The constraint on the values.
Can be obtained through |

`CIDnum` |
A vector that gives the CIDnum identification for each batch.
Can be found at |

Mike Higgins

1 2 3 4 5 6 7 | ```
data(MN_Senate_2006)
M.u <- getEbsMargin(MN_Senate_2006.strat, t=2, asNumber = TRUE)
u <- M.u$u
M <- M.u$M
q <- getQ(MN_Senate_2006.strat)
CIDnum <- MN_Senate_2006.strat$V$CIDnum
runBaB(u,q,M,CIDnum)
``` |

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