simts {crqa} | R Documentation |
Simulate dichotomous binary time-series
Description
A simple algorithm for producing a time-series that drives a second time-series (1 for event occurrence; 0 otherwise) using parameters, which change independent and conditional probability of an event to occur.
Usage
simts(BL1, BL2, BLR1, BLR2, BL2C1, tsL)
Arguments
BL1 |
Base event rate of the first time-series |
BL2 |
Base event rate of the second time-series |
BLR1 |
Rate of repetition in the first series |
BLR2 |
Rate of repetition in the second series |
BL2C1 |
Conditional probability of repetition. |
tsL |
Length of the simulated time-series |
Value
A matrix with two-rows, where the first row is
the 'driving' time-series and the second row
is the second time-series. The columns are
the number of simulated points as selected
by the argument tsL
.
Author(s)
Rick Dale and Moreno I. Coco (moreno.cocoi@gmail.com)
Examples
## set up parameters
BL1 = .08; BL2 = .05; BLR1 = .5; BLR2 = .5;
BL2C1 = .33; tsL = 100
ts = simts(BL1, BL2, BLR1, BLR2, BL2C1, tsL)
[Package crqa version 2.0.6 Index]