glm.predict.: Computes prior probability of mutations

In rocioespci/single: Accurate consensus sequence from nanopore reads of a gene library

Computes prior probability of mutations

Description

This is an auxiliary function in single package. It evaluates the sigmoidal function given by the parameters slope and intercept on x.

Usage

glm.predict.(x, slope, intercept)

Arguments

x	Numeric. Values to evaluate.
slope	Slope of the sigmoidal function to evaluate.
intercept	Intercept of the sigmoidal function to evaluate.

Value

Numeric.

Examples

x = c(-10:10)
y = glm.predict.(x,1,2)
plot(x,y)

rocioespci/single documentation built on April 18, 2023, 8:48 p.m.