findC: Finding best C

In gitter-lab/LPWC: Lag Penalized Weighted Correlation for Time Series Clustering

Description

This function computes the values of C to test using the timepoints and max lag in the dataset

Usage

findC(timepoints, max.lag = NULL, pi = 0.95, iter = 10)

Arguments

timepoints	a vector of timepoints used in the dataset
max.lag	a numeric value with maximum lags allowed, if null, defaults to the floor of the number of timepoints divided by 4
pi	a numeric value between 0.5 and 1 for the upper bound on the penalty
iter	a numeric value with the number of penalties to test

Value

a vector of length iter of the different values of C to test

Author(s)

Thevaa Chandereng, Anthony Gitter

Examples

findC(c(0, 5, 10, 15, 20, 25), max.lag = 1, iter = 15)
findC(c(2, 4, 8, 16, 32, 64, 128, 256), iter = 5)
findC(c(2, 6, 10, 15, 22, 30, 40, 55, 80), pi = 0.8, iter = 20)
findC(c(1, 2, 3.2, 4, 5.3, 7), pi = 0.99)

gitter-lab/LPWC documentation built on May 7, 2020, 2:02 p.m.