unbiasB0: Unbiased Estimator of the Number of Non-essential ORFs
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 non-essential ORFs.

1	unbiasB0(anno,clone,iter=1000,seed=NULL,alpha=0.05,TR=TRUE)

`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 non-essential ORFs.

`b0`	Unbiased point estimate
`CI`	Confidence interval at the alpha specified

Oliver Will owill4@yahoo.com

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

fFit

data(sampleAnnotation)
data(sampleInsertions)
anno <- cbind(sampleAnnotation$first,sampleAnnotation$last)
clone <- sampleInsertions$position
TR <- TRUE
iter <- 10
seed <- 4
unbiasB0(anno,clone,iter,seed,TR=TR)