model_cor: Model Correlated data Interactively build a model of...
In josephsdavid/tswgewrapped: Helpful wrappers for 'tswge', 'vars' and 'nnfor' time series packages
Description
Usage
Arguments
Value
Examples
Description
Model Correlated data
Interactively build a model of correlated data
Usage
1
Arguments
xs
the time series to model
parallel
whether or not to run in parallel, defaults to FALSE
cl
the cluster in which to run on
Value
a list of model metrics and paramaters
Examples
1
2
3
xs <- playground(400)
clust <- parallel::makeCluster(2L, type = "FORK")
model_cor(xs, parallel = TRUE, cl = clust)
josephsdavid/tswgewrapped documentation built on July 31, 2020, 9:36 a.m.
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Description Usage Arguments Value Examples
Description
Model Correlated data Interactively build a model of correlated data
Usage
1 |
Arguments
xs |
the time series to model |
parallel |
whether or not to run in parallel, defaults to FALSE |
cl |
the cluster in which to run on |
Value
a list of model metrics and paramaters
Examples
1 2 3 | xs <- playground(400)
clust <- parallel::makeCluster(2L, type = "FORK")
model_cor(xs, parallel = TRUE, cl = clust)
|
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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