pelt.gamma.sum: Calculate Summary Statistics used for Gamma likelihood...
In benpickering/smop: Subset Multivariate Optimal Partitioning
Description
Usage
Arguments
Details
Value
Examples
View source: R/pelt.bck.R
View source: R/pelt.R
Description
Calculates the necessary summary statistics which are to be used as part of the calculation of the Gamma likelihood for the PELT algorithm. Not typically used outside of this purpose.
Calculates the necessary summary statistics which are to be used as part of the calculation of the Gamma likelihood for the PELT algorithm. Not typically used outside of this purpose.
Usage
1
2
3
Arguments
data
A vector of time-ordered observations to be analysed using PELT.
data
A vector of time-ordered observations to be analysed using PELT.
Details
An internal function, not designed for use by the end-user.
An internal function, not designed for use by the end-user.
Value
A vector containing the cumulative sums of the observations.
A vector containing the cumulative sums of the observations.
Examples
1
2
3
4
data = rgamma(n=100, shape=1, scale=1/2)
pelt.gamma.sum(data)
data = rgamma(n=100, shape=1, scale=1/2)
pelt.gamma.sum(data)
benpickering/smop documentation built on Sept. 4, 2020, 1:45 a.m.
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Description Usage Arguments Details Value Examples
View source: R/pelt.bck.R View source: R/pelt.R
Description
Calculates the necessary summary statistics which are to be used as part of the calculation of the Gamma likelihood for the PELT algorithm. Not typically used outside of this purpose.
Calculates the necessary summary statistics which are to be used as part of the calculation of the Gamma likelihood for the PELT algorithm. Not typically used outside of this purpose.
Usage
1 2 3 |
Arguments
data |
A vector of time-ordered observations to be analysed using PELT. |
data |
A vector of time-ordered observations to be analysed using PELT. |
Details
An internal function, not designed for use by the end-user.
An internal function, not designed for use by the end-user.
Value
A vector containing the cumulative sums of the observations.
A vector containing the cumulative sums of the observations.
Examples
1 2 3 4 | data = rgamma(n=100, shape=1, scale=1/2)
pelt.gamma.sum(data)
data = rgamma(n=100, shape=1, scale=1/2)
pelt.gamma.sum(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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