unbiasB0 {occugene} | R Documentation |
Unbiased point estimate and confidence intervals for the number of non-essential ORFs.
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)