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tsbugs (version 1.2.1)
Create Time Series BUGS Models
Description
Contains a collection of R functions that can be used to create time series BUGS models of various order. Included are function to create BUGS with non-constant variance such stochastic volatility models and random variance shift models.
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Version
1.2.1
1.2
1.1
1.0
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Install
install.packages('tsbugs')
Monthly Downloads
32
Version
1.2.1
License
GPL-2
Maintainer
Guy Abel
Last Published
January 25th, 2019
Functions in tsbugs (1.2.1)
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ar.bugs
Create BUGS Script of a Autoregressive (AR) Time Series Model
tsbugs-package
Create time series BUGS models.
inits
Produce a Set of Candidate Initial Values
print.tsbugs
Prints tsbugs object
sv.bugs
Create BUGS Script of a Stochastic Volatility (SV) Model
rv.bugs
Create BUGS Script of a Random Variance Shift Model
nodes
Data Frame of Nodes within a BUGS model.
svpdx
Pound-Dollar Exchange Rate Data
ew
Population Data for England and Wales