Augmented Predictor Function
Creates the augmented predictor matrix based on an appropriately defined changepoint structure.
aug.x(X, cp.locs, cp, delta = NULL)
X |
The raw matrix of predictor values. Note that the raw data matrix should not include a columns of 1's. |
cp.locs |
The locations of the changepoints. The length of this vector must be equal to the sum of the entries of |
cp |
A vector having length equal to the number of predictors. |
delta |
A vector to accommodate discontinuities. If NULL, then no discontinuities are included. Otherwise, this must be a vector of the same length as |
This function is called by segregmixEM and the associated internal functions.
aug.x returns a matrix of the original matrix X with the predictor adjusted for changepoints and (optional) discontinuities.
x <- matrix(1:30, nrow = 10) cp <- c(1, 3, 0) cp.locs <- c(3, 12, 14, 16) d <- rep(0, 4) x1 <- aug.x(x, cp.locs, cp, delta = NULL) x1 x2 <- aug.x(x, cp.locs, cp, delta = d) x2
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.