Description Usage Arguments Value Examples
Generates non-stationary time series data with break in the autocorrelation and normal error distribution.
1 | ts.break.autocorrelation(N, TS, delta, phis, thetas, error, seeds, burnin)
|
N |
Number of time series |
TS |
Size of the time series |
delta |
Mean |
phis |
Vector with two autoregressive values |
thetas |
Vector with two moving average values |
error |
Type of error and parameters Normal - c(ERROR_N, mean, stdv) Exponential - c(ERROR_E, mean, lambda) Triangle - c(ERROR_T, lower, upper, mode) |
seeds |
Vector of seeds |
burnin |
Number of samples thrown away at the beginning of time series generation |
N time series of size TS
1 2 |
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