maxlikboot: Bootstrap estimates for parameters and confidence intervals...

In kostasgian21/heteroplasmy: Calculation of the standard error of the variance for heteroplasmy data

Bootstrap estimates for parameters and confidence intervals for heteroplasmy data

Description

Compute bootstrap estimates for parameters and confidence intervals for a given heteroplasmy set We can do this while imposing a specific h0 as an argument or by allowing a search over h0 values.

Usage

maxlikboot(h, nboot = 1000, conf.level = 0.95, h0 = F)

Arguments

h	A vector containig heteroplasmy measurements. Every observation should be in [0,1].
nboot	The number of bootstrap samples. Default value is 1000
conf.level	The preferred confidence interval calculation, Default value is 0,95 (95%).
h0	Logical parameter. A particular h0 value Default is to treat h0 as a fit parameter

Value

The maximum likelihood for the input data according to the Kimura distribution (using bootstrapping)

Examples

 X.1 = rnorm(50,0.5,0.1)
maxlik(X.1,nboot=10000,0.95)

kostasgian21/heteroplasmy documentation built on Jan. 30, 2024, 12:30 a.m.