Description Usage Arguments Details Value References Examples

This function uses a network algorithm to enumerate conditional sample spaces associated with logistic regression, using a minimal version of the algorithm of \insertCitemehtapatel;textualPHInfiniteEstimates.

1 2 3 4 5 6 7 8 9 |

`dm` |
matrix of covariates |

`n` |
Vector of number of trials. If null, make them all ones. |

`resp` |
vector of successes. Used only to calculate the sufficient statistics, unless sufficient statistics are entered directly. Either resp or sst must be provided. |

`conditionon` |
indices of covariate matrix indicating sufficient statistics to be conditioned on. |

`sst` |
sufficient statistic vector, if input directly. Otherwise, recomputed from resp. |

`addint` |
logical, true if a column of 1s must be added to the covariate matrix. |

`verbose` |
logical; if true, print intermediate results. |

Examples apply this to data from \insertCitemehtapatel;textualPHInfiniteEstimates, citing \insertCitegoorinetal87;textualPHInfiniteEstimates.

For a successful run, a list with components:

possible matrix with vectors of possible unconditioned values of the sufficient statistic.

count count of entries in the conditional distribution.

obsd Observed value of unconditioned sufficient statistics.

For an unsuccessful run (because of input inconsistencies) NA

mehtapatelPHInfiniteEstimates

\insertRefgoorinetal87PHInfiniteEstimates

1 2 3 4 5 6 7 8 9 10 11 | ```
#Columns in table are:
# Lymphocytic Infiltration (1=low, 0=high)
# Sex (1=male, 0=female)
# Any Ostioid Pathology (1=yes, 0=no)
# Number in LI-Sex-AOP group
# Number in LI-Sex-AOP group with disease free interval greater than 3 y
goorin<-data.frame(LI=c(0,0,0,0,1,1,1,1),Sex=c(0,0,1,1,0,0,1,1),
AOP=c(0,1,0,1,0,1,0,1),N=c(3,2,4,1,5,5,9,17),Y=c(3,2,4,1,5,3,5,6))
out<-network(goorin[,1:3],goorin[,4],conditionon=1:3,resp=goorin[,5])
inference(out)
``` |

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