fsimulate | R Documentation |
Function simulates data from the paper
fsimulate(
n = 100,
d = 7,
K = 3,
dgrid = 51,
clear = 0.85,
num_points = NULL,
noise.mag = 0.1
)
n |
number of observations |
d |
number of dimensions |
K |
true 'low dimension' |
dgrid |
size of the grid |
clear |
fraction of observations to remove |
num_points |
number of points observed per curve |
noise_mag |
the magnitude of noise |
The function simulates data as described in the paper.
Generates observations X1,X2
and a Y = X1 + X2 + noise
Lukasz Kidzinski and Trevor J. Hastie. Modeling longitudinal data using matrix completion. Under review (2021)
fregression
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