Generate a Latent Time Series Object from Data
Create a lts
object based on a supplied matrix or data frame. The latent time series is obtained by the sum of underlying time series.
lts(data, start = 0, end = NULL, freq = 1, unit_ts = NULL, unit_time = NULL, name_ts = NULL, name_time = NULL, process = NULL)
data |
A multiple-column |
start |
A |
end |
A |
freq |
A |
unit_ts |
A |
unit_time |
A |
name_ts |
A |
name_time |
A |
process |
A |
A lts
object
Wenchao Yang and Justin Lee
model1 = AR1(phi = .99, sigma2 = 1) model2 = WN(sigma2 = 1) col1 = gen_gts(1000, model1) col2 = gen_gts(1000, model2) testMat = cbind(col1, col2, col1+col2) testLts = lts(testMat, unit_time = 'sec', process = c('AR1', 'WN', 'AR1+WN')) plot(testLts)
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