cmle: Estimate the parameters for the seasonal model given the...
In mcavallaro/rancovr: Cluster detection in R with RAndom Neighbourhood COVeRing
cmle R Documentation
Estimate the parameters for the seasonal model given the aggregated vector of event times.
Description
Optimize the function neg.log.like recursively calling clme1 and cmle2.
Usage
cmle(data, n.cycles = 10, start = NULL, save.on.dir = TRUE)
Arguments
data
A numeric vector of event times.
n.cycles
integer. Number of times the conditional optimizers are called.#
start
numeric. Starting parameters (not yet implemented).
save.on.dir
logical. If TRUE, will save the inferred parameter in 'timefactor_parameters.RData'.
Value
numeric. A 2D 2x4 matrix with the estimated parameters.
Examples
cmle(data)
mcavallaro/rancovr documentation built on April 17, 2025, 7:21 p.m.
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| cmle | R Documentation |
Estimate the parameters for the seasonal model given the aggregated vector of event times.
Description
Optimize the function neg.log.like recursively calling clme1 and cmle2.
Usage
cmle(data, n.cycles = 10, start = NULL, save.on.dir = TRUE)
Arguments
data |
A |
n.cycles |
|
start |
|
save.on.dir |
|
Value
numeric. A 2D 2x4 matrix with the estimated parameters.
Examples
cmle(data)
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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