logFM: Calculate approximate log-likelihood based on Frequent...
In jasonxu90/bdsem: Analysis of discretely observed Birth-Death-Shift processes
Description
Usage
Arguments
Value
Description
logFM calculates the log-likelihood where
transition probabilities are computed under the frequent
monitoring assumption. Used for simulation studies
comparing results using frequent monitoring with our
methods.
Usage
1
logFM(param, u, FM)
Arguments
param
A vector of three numbers containing the
birth, shift, and death rate respectively
u
A number, the observation interval length
FM
An object returned by FM.data
containing the number of each event under FM
Value
The negative frequent monitoring log-likelihood
jasonxu90/bdsem documentation built on May 18, 2019, 5:54 p.m.
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Description Usage Arguments Value
Description
logFM calculates the log-likelihood where
transition probabilities are computed under the frequent
monitoring assumption. Used for simulation studies
comparing results using frequent monitoring with our
methods.
Usage
1 | logFM(param, u, FM)
|
Arguments
param |
A vector of three numbers containing the birth, shift, and death rate respectively |
u |
A number, the observation interval length |
FM |
An object returned by |
Value
The negative frequent monitoring log-likelihood
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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