unbiasDelta0: Unbiased Number of New Knockouts
In occugene: Functions for Multinomial Occupancy Distribution

Description Usage Arguments Details Value Author(s) References See Also Examples

Unbiased point estimate and confidence intervals for the number of new ORF knockouts in the next d clones.

1	unbiasDelta0(d,anno,clone,iter=1000,seed=NULL,alpha=0.05,TR=TRUE)

`d`	Number of new clones
`anno`	2-column matrix of annotation
`clone`	Vector of insertions
`iter`	Number of iterations for the bootstrap
`seed`	Seed for the random number generator
`alpha`	Type I error
`TR`	Report a trace

Fits a parametric function to the cumulative occupancy distribution. Uses a parametric bootstrap to correct for bias and find confidence intervals for the number of new ORF knockouts in the next d clones.

`delta0`	Unbiased point estimate
`CI`	Confidence interval at the alpha specified

Oliver Will owill4@yahoo.com

See the book chapter O. Will (**) in **

delta0

data(sampleAnnotation)
data(sampleInsertions)
anno <- cbind(sampleAnnotation$first,sampleAnnotation$last)
clone <- sampleInsertions$position
TR <- TRUE
iter <- 10
seed <- 4
unbiasDelta0(10,anno,clone,iter,seed,TR=TR)