LOO_CV_with_BM: Leave-one-out cross-validation under BM model
In wu-lab-uva/RasperGade: Reconstructing Ancestral State under Pulsed Evolution in R by Gaussian Decomposition
View source: R/RasperGade_cross_validation.R
LOO_CV_with_BM R Documentation
Leave-one-out cross-validation under BM model
Description
Predict hidden states under the BM model in a leave-one-out cross-validation
Usage
LOO_CV_with_BM(phy, trait)
Arguments
phy
phylo-class object from ape package
trait
named vector of tip trait values; names should match the tip labels; missing values are hidden states
numCores
number of threads to run in parallel
Value
$summary is a data frame listing the means and variances of the hidden states
$error is a list of error distributions where each element is a data frame
wu-lab-uva/RasperGade documentation built on June 24, 2022, 2:47 p.m.
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View source: R/RasperGade_cross_validation.R
| LOO_CV_with_BM | R Documentation |
Leave-one-out cross-validation under BM model
Description
Predict hidden states under the BM model in a leave-one-out cross-validation
Usage
LOO_CV_with_BM(phy, trait)
Arguments
phy |
phylo-class object from |
trait |
named vector of tip trait values; names should match the tip labels; missing values are hidden states |
numCores |
number of threads to run in parallel |
Value
$summary is a data frame listing the means and variances of the hidden states
$error is a list of error distributions where each element is a data frame
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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