spline.preprocess: Use smoothing spline to preprocess original longitudinal data
In yishuwei2019/itlt: Interaction tree for longitudinal trajectories
Description
Usage
Arguments
Value
View source: R/itlt_spline_preprocess.R
Description
For multiple test based and MMP based methods, preprocess using smoothing
splines are the first step
Usage
1
spline.preprocess(D.traj, tf, nknot, alpha)
Arguments
D.traj
dataset consists purely of original longitudinal observations
tf
time frame
nknot
knot number
alpha
penalization term in GCV
Value
new longitudinal dataset with fitted spline coefficients
yishuwei2019/itlt documentation built on July 8, 2021, 5:15 p.m.
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Description Usage Arguments Value
View source: R/itlt_spline_preprocess.R
Description
For multiple test based and MMP based methods, preprocess using smoothing splines are the first step
Usage
1 | spline.preprocess(D.traj, tf, nknot, alpha)
|
Arguments
D.traj |
dataset consists purely of original longitudinal observations |
tf |
time frame |
nknot |
knot number |
alpha |
penalization term in GCV |
Value
new longitudinal dataset with fitted spline coefficients
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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