knot.select: Selection of number of knots in multiple test base and mmp...
In yishuwei2019/itlt: Interaction tree for longitudinal trajectories
Description
Usage
Arguments
Value
View source: R/itlt_knot_select.R
Description
For intensive longitudinal dataset (multiple test based method and mmp based
method), a preprocessing step using smoothing splines is used.Generalized
cross validation (GCV) is used for knot number selection.
Usage
1
knot.select(D.traj, tf, alpha = 2)
Arguments
D.traj
dataset consists purely of longitudinal observations
tf
time frame
alpha
penalization term in GCV
Value
mean and standard deviation of GCV of each possible knot number
yishuwei2019/itlt documentation built on July 8, 2021, 5:15 p.m.
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Description Usage Arguments Value
View source: R/itlt_knot_select.R
Description
For intensive longitudinal dataset (multiple test based method and mmp based method), a preprocessing step using smoothing splines is used.Generalized cross validation (GCV) is used for knot number selection.
Usage
1 | knot.select(D.traj, tf, alpha = 2)
|
Arguments
D.traj |
dataset consists purely of longitudinal observations |
tf |
time frame |
alpha |
penalization term in GCV |
Value
mean and standard deviation of GCV of each possible knot number
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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