epsilon.minimize.chisq: Max. likelihood estimation of scaling factor epsilon

In EmmaDann/hexamerModel: Tools for modelling random hexamer primer binding

Description

From primer-binding model parameters find epsilon value that minimizes the difference between predicted K and K as defined from calorimetry experiments.

Usage

epsilon.minimize.chisq(pt.df, max, min = 0, prob = batch.prob.uniform(),
  plot = T)

Arguments

pt.df	long dataframe of primer-template features
max	maximum epsilon value
min	minimum epsilon value
prob	dataframe of primer probability (default is equal for all)
plot	logical indicating whether to plot the Chi-square function (to visualize the minimum)

Value

numeric of epsilon value (minimum of Chi-sq. function)

EmmaDann/hexamerModel documentation built on May 5, 2019, 4:48 p.m.