getPTLExpectedCounts {LCA}

Predict Distribution of Feature-Wise Differences

Description

Predicts the expected number of features with a difference between two objects of a given global dissimilarity lying within a set of specified ranges.

Usage

getPTLExpectedCounts(alpha,beta,gamma,bin_limits,ntrials)

Arguments

alpha

Numeric value specifying the parameter alpha in the PTL model used to estimate distribution of differences between the given objects

beta

Numeric value specifying the parameter beta in the PTL model used to estimate distribution of differences between the given objects

gamma

Numeric value specifying the parameter gamma in the PTL model used to estimate distribution of differences between the given objects

bin_limits

Numeric vector specifying the limits of each range to be evaluated. Effectively, this gives the breakpoints between cells of the predicted histogram.

ntrials

Numeric value specifying the number of features being evaluated in the dataset

Details

Uses a PTL model with the specified parameters to estimate the expected number of features with differences between specified ranges. Used in calibration of PTL model parameter prediction to the dataset.

Value

Numeric vector giving expected counts for numbers of features with a difference lying within the given set of specified ranges.

Author(s)

Ed Curry [e-mail]