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SparseTSCGM (version 4.0)
Sparse Time Series Chain Graphical Models
Description
Computes sparse vector autoregressive coefficients and precision matrices for time series chain graphical models. Fentaw Abegaz and Ernst Wit (2013)
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Version
Version
4.1
4.0
3.0
2.5
2.2
2.1.1
2.0
1.0
Install
install.packages('SparseTSCGM')
Monthly Downloads
228
Version
4.0
License
GPL (>= 3)
Maintainer
Fentaw Abegaz
Last Published
January 13th, 2021
Functions in SparseTSCGM (4.0)
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summary.tscgm
Summary - S3 Method for Class 'sparse.tscgm'
mammary
Microarray gene expression time course data for mammary gland development in mice
sim.data
Multivariate time series simulation with chain graphical models
print.tscgm
Print summary - S3 Method for Class 'sparse.tscgm'.
plot.tscgm
Plot sparse.tscgm objects from fitting chain graphical models with vector autoregressive process of order 2.
SparseTSCGM-package
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.
sparse.tscgm
Sparse time series chain graphical models