IdentifyTerminalPoints: Identify terminal points
In dpwynne/mmnst: Multiscale Modeling of Neural Spike Trains
View source: R/IdentifyTerminalPoints.R
IdentifyTerminalPoints R Documentation
Identify terminal points
Description
Computes a vector of times at which the estimated piecewise constant intensity function c(t) changes.
Usage
IdentifyTerminalPoints(t.start, t.end, J)
Arguments
t.start
the starting time of the data collection.
t.end
the ending time of the data collection.
J
the maximum size of the tree in the initial dyadic partitioning used to estimate c(t).
Value
A numeric vector of points at which c(t) changes.
dpwynne/mmnst documentation built on Aug. 1, 2023, 8:08 a.m.
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View source: R/IdentifyTerminalPoints.R
| IdentifyTerminalPoints | R Documentation |
Identify terminal points
Description
Computes a vector of times at which the estimated piecewise constant intensity function c(t) changes.
Usage
IdentifyTerminalPoints(t.start, t.end, J)
Arguments
t.start |
the starting time of the data collection. |
t.end |
the ending time of the data collection. |
J |
the maximum size of the tree in the initial dyadic partitioning used to estimate |
Value
A numeric vector of points at which c(t) changes.
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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