likelihoodcv: Log Cross-Validated Likelihood
In ICE: Iterated Conditional Expectation
Description
Usage
Arguments
Value
Author(s)
References
Description
Log Cross-Validated Likelihood for interval-censored data. The
likelihood is the product of integrals over the innermost intervals.
Leave-one-out cross-validation here is accomplished by leaving
out each innermost interval and re-computing the integral using the
remaining data.
Usage
1
likelihoodcv(p, data, m=101)
Arguments
p
A scalar specifying the bandwidth used in the kernel density
estimate.
data
A matrix with two columns, consisting of left and right
endpoints of the interval data
m
numeric quantity which controls the number of grid points
used in the density estimate
Value
A scalar value.
Author(s)
W.J. Braun
References
Braun, J., Duchesne, T. and Stafford, J.E. (2005)
Local likelihood density estimation for interval censored
data. Canadian Journal of Statistics 33: 39-60.
ICE documentation built on May 2, 2019, 3:03 a.m.
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Description Usage Arguments Value Author(s) References
Description
Log Cross-Validated Likelihood for interval-censored data. The likelihood is the product of integrals over the innermost intervals. Leave-one-out cross-validation here is accomplished by leaving out each innermost interval and re-computing the integral using the remaining data.
Usage
1 | likelihoodcv(p, data, m=101)
|
Arguments
p |
A scalar specifying the bandwidth used in the kernel density estimate. |
data |
A matrix with two columns, consisting of left and right endpoints of the interval data |
m |
numeric quantity which controls the number of grid points used in the density estimate |
Value
A scalar value.
Author(s)
W.J. Braun
References
Braun, J., Duchesne, T. and Stafford, J.E. (2005) Local likelihood density estimation for interval censored data. Canadian Journal of Statistics 33: 39-60.
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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