View source: R/zeitzeiger_predict.R
zeitzeiger | R Documentation |
Train and test a ZeitZeiger predictor, calling the necessary functions.
zeitzeiger( xTrain, timeTrain, xTest, nKnots = 3, nTime = 10, useSpc = TRUE, sumabsv = 2, orth = TRUE, nSpc = 2, timeRange = seq(0, 1 - 0.01, 0.01) )
xTrain |
Matrix of measurements for training data, observations in rows and features in columns. |
timeTrain |
Vector of values of the periodic variable for training observations, where 0 corresponds to the lowest possible value and 1 corresponds to the highest possible value. |
xTest |
Matrix of measurements for test data, observations in rows and features in columns. |
nKnots |
Number of internal knots to use for the periodic smoothing spline. |
nTime |
Number of time-points by which to discretize the time-dependent behavior of each feature. Corresponds to the number of rows in the matri for which the SPCs will be calculated. |
useSpc |
Logical indicating whether to use |
sumabsv |
L1-constraint on the SPCs, passed to |
orth |
Logical indicating whether to require left singular vectors
be orthogonal to each other, passed to |
nSpc |
Vector of the number of SPCs to use for prediction. If |
timeRange |
Vector of values of the periodic variable at which to calculate likelihood. The time with the highest likelihood is used as the initial value for the MLE optimizer. |
fitResult |
Output of |
spcResult |
Output of |
predResult |
Output of |
zeitzeigerFit()
, zeitzeigerSpc()
, zeitzeigerPredict()
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