impute_root_inner: Impute the root node for an observed cluster (inner function)
In skgallagher/TBornotTB: Analyze Tuberculosis Patients in Maryland

Impute the root node for an observed cluster (inner function)

1	impute_root_inner(data, n, n_pos, B = 1, prob_pos = 0.5)

`data`	data frame with the following columns (one row) freq frequency of cluster of size n, positive smear x
`n`	cluster size
`n_pos`	number of positive smears in cluster
`B`	scaling factor of data imputation. Default is 1.
`prob_pos`	probability of imputed root being positive smear.

data frame with new_data, same column names but different counts.

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data <- data.frame(n = 1, n_pos = 1, freq = 10
out <- impute_root_inner(data)
head(out)

skgallagher/TBornotTB documentation built on April 21, 2020, 1:19 p.m.

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