bickde: Bandwidth choice for Interval-Censored Kernel Density...
In ICE: Iterated Conditional Expectation
Description
Usage
Arguments
Details
Value
Author(s)
References
Examples
Description
Likelihood Cross-Validation bandwidth choice for interval-censored
kernel density estimates. Also computed is the direct-plug-in
estimate (using the KernSmooth function dpik based
on the interval midpoints.
Usage
1
Arguments
data
A matrix with two columns, consisting of left and right
endpoints of the interval data
factor
A scalar factor which gives upper and lower
bounds for the initial interval for the golden section search relative
to a preliminary value computed by dpik.
Default value is 10 which specifies an initial interval of (dpik/10, dpik*10).
Details
Maximization of the likelihood is accomplished by
golden section search using the optimize() function. This
can be very SLOW.
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.
Examples
1
2
# Not run
# bickde(ICHemophiliac)
Example output
Loading required package: KernSmooth
KernSmooth 2.23 loaded
Copyright M. P. Wand 1997-2009
ICE documentation built on May 2, 2019, 3:03 a.m.
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.
Description Usage Arguments Details Value Author(s) References Examples
Description
Likelihood Cross-Validation bandwidth choice for interval-censored kernel density estimates. Also computed is the direct-plug-in estimate (using the KernSmooth function dpik based on the interval midpoints.
Usage
1 |
Arguments
data |
A matrix with two columns, consisting of left and right endpoints of the interval data |
factor |
A scalar factor which gives upper and lower bounds for the initial interval for the golden section search relative to a preliminary value computed by dpik. |
Default value is 10 which specifies an initial interval of (dpik/10, dpik*10).
Details
Maximization of the likelihood is accomplished by golden section search using the optimize() function. This can be very SLOW.
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.
Examples
1 2 | # Not run
# bickde(ICHemophiliac)
|
Example output
Loading required package: KernSmooth
KernSmooth 2.23 loaded
Copyright M. P. Wand 1997-2009
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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