RDocumentation
Moon
Learn R
Search all packages and functions
⚠️
There's a newer version (4.0) of this package.
Take me there.
SparseTSCGM (version 2.2)
Sparse Time Series Chain Graphical Models
Description
Computes sparse vector autoregressive coefficients and precision matrices for time series chain graphical models.
Copy Link
Copy
Link to current version
Version
Version
4.0
3.0
2.5
2.2
2.1.1
2.0
1.0
Down Chevron
Install
install.packages('SparseTSCGM')
Monthly Downloads
175
Version
2.2
License
GPL (>= 3)
Maintainer
Fentaw Abegaz
Last Published
July 16th, 2015
Functions in SparseTSCGM (2.2)
Search functions
plot.tscgm
Plot sparse.tscgm objects from fitting chain graphical models with vector autoregressive process of order 2.
sim.data
Multivariate time series simulation with chain graphical models
SparseTSCGM-package
Sparse Time Series Chain Graphical Models.
sparse.tscgm
Sparse time series chain graphical models
plot.tscgm.ar2
Plot sparse.tscgm objects from fitting chain graphical models with vector autoregressive process of order 2.
mammary
Microarray gene expression time course data for mammary gland development in mice
summary.tscgm
Summary - S3 Method for Class 'sparse.tscgm'
print.tscgm
Print summary - S3 Method for Class 'sparse.tscgm'.