partitionRACVM: Obtain multi-state RACVM estimates
In EliGurarie/smoove: Simulation and Estimation of Correlated Velocity Movement (CVM) Models
View source: R/partitionRACVM.R
partitionRACVM R Documentation
Obtain multi-state RACVM estimates
Description
Takes a set of change points and fits the best model to each phase
Usage
partitionRACVM(Z, T, CPs, criterion = "BIC")
Arguments
Z
locations as a complex vector
T
times vector
CPs
change points (as indices)
criterion
One of "AIC" or "BIC" - which information criterion to use for the model selection.
Value
a named list of phases (numbered by roman numerals) containing the selected model, estimates, and confidence intervals for each parameter.
EliGurarie/smoove documentation built on Aug. 2, 2022, 10:26 p.m.
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.
View source: R/partitionRACVM.R
| partitionRACVM | R Documentation |
Obtain multi-state RACVM estimates
Description
Takes a set of change points and fits the best model to each phase
Usage
partitionRACVM(Z, T, CPs, criterion = "BIC")
Arguments
Z |
locations as a complex vector |
T |
times vector |
CPs |
change points (as indices) |
criterion |
One of |
Value
a named list of phases (numbered by roman numerals) containing the selected model, estimates, and confidence intervals for each parameter.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.