findPrts: Find partitions in a multi-individual movement dataset
In jmcalabrese/corrMove: Analyze Correlated Movements in Multi-Individual Datasets
Description
Usage
Arguments
Value
Author(s)
Description
Sequentially introduces partition points into a dataset by finding the partition point that results in the largest IC reduction. The algorithm stops either when no further IC reduction is possible, or when the minimum window length W is exceeded for the first time.
Usage
1
Arguments
data
A corrData object from as.corrData.
W
The user-specified minimum window width.
IC
Information criterion. Current choices are AICc=1 (the default) or BIC=2.
Value
A vector of loctions of the partition points in the dataset.
Author(s)
Justin M. Calabrese
jmcalabrese/corrMove documentation built on May 29, 2019, 1:04 a.m.
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Description Usage Arguments Value Author(s)
Description
Sequentially introduces partition points into a dataset by finding the partition point that results in the largest IC reduction. The algorithm stops either when no further IC reduction is possible, or when the minimum window length W is exceeded for the first time.
Usage
1 |
Arguments
data |
A corrData object from as.corrData. |
W |
The user-specified minimum window width. |
IC |
Information criterion. Current choices are AICc=1 (the default) or BIC=2. |
Value
A vector of loctions of the partition points in the dataset.
Author(s)
Justin M. Calabrese
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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