NWW: Nadaraya-Watson weights
In gsoutinho/survrec: Estimation of the multivariate distributions for censored gap times
Description
Usage
Arguments
Details
Value
Author(s)
Examples
Description
Computes the Nadaraya-Watson weights.
Usage
1
Arguments
covariate
Covariate values for obtaining weights.
x
Covariate value to compute the weight at.
kernel
A character string specifying the desired kernel. See details below for possible options.
Defaults to "gaussian" where the gaussian density kernel will be used.
bw
A single numeric value to compute a kernel density bandwidth.
Details
Possible options for argument window are "gaussian", "epanechnikov", "tricube", "boxcar",
"triangular", "quartic" or "cosine".
Value
A vector with Nadaraya-Watson weights.
Author(s)
Gustavo Soutinho and Luis Meira-Machado
Examples
1
2
3
4
b3state2 <- multidf(time1=bladder4state$y1, event1=bladder4state$d1,
time=bladder4state$y1+bladder4state$y2,status=bladder4state$d2, size=bladder4state$size)
obj0 <- b3state2[[1]]
NWW(covariate = obj0$size, x=3, kernel = "gaussian", bw = 3)
gsoutinho/survrec documentation built on Dec. 20, 2021, 1:46 p.m.
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Description Usage Arguments Details Value Author(s) Examples
Description
Computes the Nadaraya-Watson weights.
Usage
1 |
Arguments
covariate |
Covariate values for obtaining weights. |
x |
Covariate value to compute the weight at. |
kernel |
A character string specifying the desired kernel. See details below for possible options. Defaults to "gaussian" where the gaussian density kernel will be used. |
bw |
A single numeric value to compute a kernel density bandwidth. |
Details
Possible options for argument window are "gaussian", "epanechnikov", "tricube", "boxcar", "triangular", "quartic" or "cosine".
Value
A vector with Nadaraya-Watson weights.
Author(s)
Gustavo Soutinho and Luis Meira-Machado
Examples
1 2 3 4 | b3state2 <- multidf(time1=bladder4state$y1, event1=bladder4state$d1,
time=bladder4state$y1+bladder4state$y2,status=bladder4state$d2, size=bladder4state$size)
obj0 <- b3state2[[1]]
NWW(covariate = obj0$size, x=3, kernel = "gaussian", bw = 3)
|
R Package Documentation
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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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