LCD: Localised Co-Dependency Estimates
In LCA: Localised Co-Dependency Analysis

Description Usage Arguments Details Value Author(s)

Evaluates Statistical Significance of Localised Co-Dependency (LCD)

1	LCD(x1,x2,seed.row,PTLmodel)

`x1`	Numeric data vector giving values of all features for one selected object
`x2`	Numeric data vector giving values of all features for another selected object
`seed.row`	Numeric value specifying which row of data table to use as 'seed' feature with which to evaluate co-dependency
`PTLmodel`	List with named elements `alpha`, `beta` and `gamma` specifying PTL parameters

Function to evaluate LCD, between two selected objects, for all features in a dataset against the feature represented by seed.row.

Numeric vector giving p-values for significance estimates of localised co-dependency, with the feature specified by seed.row, of all features in the dataset being analysed.

Ed Curry e.curry@imperial.ac.uk

LCA documentation built on May 2, 2019, 8:26 a.m.