FPC.Kern.S: Mean Density and Covariance Functions for FPCA
In celehs/IFPCA: Intensity Functional Principal Component Analysis (IFPCA)
Description
Compute mean density function and covariance function for
functional principal components analysis (FPCA)
Usage
1
FPC.Kern.S(x, t, N, h1 = NULL, h2 = NULL, bw = "ucv")
Arguments
x
time grid between 0 and 1
t
observed event times of all the individuals, can have duplicates
N
vector, contains num of observed event of each patient
h1
bandwidth for mean density function
h2
bandwidth for covariance function
bw
bandwidth selection method
celehs/IFPCA documentation built on Dec. 17, 2020, 10:21 p.m.
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Description
Compute mean density function and covariance function for functional principal components analysis (FPCA)
Usage
1 | FPC.Kern.S(x, t, N, h1 = NULL, h2 = NULL, bw = "ucv")
|
Arguments
x |
time grid between 0 and 1 |
t |
observed event times of all the individuals, can have duplicates |
N |
vector, contains num of observed event of each patient |
h1 |
bandwidth for mean density function |
h2 |
bandwidth for covariance function |
bw |
bandwidth selection method |
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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