transformations: Transformation functions

In tpbilton/GUSbase: Genotyping Uncertainty with Sequencing Data: Base Package

Transformation functions

Description

Functions used in the GUS universe to transform parameters estimation onto an unbounded interval. These functions are used in likelihood computations optimised using direct maximization routines.

Usage

logit(p)

inv.logit(logit_p)

logit2(p)

inv.logit2(logit_p)

Arguments

p	Probability value
logit_p	Logit probability value

Details

Parameter transformations used in the GUS universe:

1. The logit transformation:

logit(p) = log(\frac{p}{1-p})

2. A modified logit transformation (called logit2):

logit2(p) = log(\frac{2p}{1-2p})

tpbilton/GUSbase documentation built on March 8, 2024, 1:35 p.m.