lc_cov_1d: Local constant covariance estimation
In stfit: Spatio-Temporal Functional Imputation Tool
lc_cov_1d R Documentation
Local constant covariance estimation
Description
Local constant covariance estimation
Usage
lc_cov_1d(ids, time, resid, W, t1, t2)
Arguments
ids
a vector indicating subject/group ids
time
integer vector of observed time points, the minimum time unit is 1
resid
vector of residual values used for covariance calculation
W
weight vector, it contains both kernel and bandwidth information in general
local polynomial estimation setting up
t1
time point 1
t2
time point 2
stfit documentation built on Oct. 18, 2022, 5:07 p.m.
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| lc_cov_1d | R Documentation |
Local constant covariance estimation
Description
Local constant covariance estimation
Usage
lc_cov_1d(ids, time, resid, W, t1, t2)
Arguments
ids |
a vector indicating subject/group ids |
time |
integer vector of observed time points, the minimum time unit is 1 |
resid |
vector of residual values used for covariance calculation |
W |
weight vector, it contains both kernel and bandwidth information in general local polynomial estimation setting up |
t1 |
time point 1 |
t2 |
time point 2 |
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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