fit_bsts: Fit a Bayesian Structural Time Series (BSTS) Model
In STCCGEV: Conditional Copula Model for Crop Yield Forecasting
fit_bsts R Documentation
Fit a Bayesian Structural Time Series (BSTS) Model
Description
Fits a BSTS model for a time series y, given a vector or matrix of covariates z.
Usage
fit_bsts(y, z, lags = 0, MCMC.iter = 5000)
Arguments
y
A numeric vector (time series response variable).
z
A numeric vector or matrix (covariates).
lags
Integer, number of lags for the autoregressive component.
MCMC.iter
Integer, number of MCMC iterations.
Value
A fitted BSTS model.
STCCGEV documentation built on April 4, 2025, 1:50 a.m.
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| fit_bsts | R Documentation |
Fit a Bayesian Structural Time Series (BSTS) Model
Description
Fits a BSTS model for a time series y, given a vector or matrix of covariates z.
Usage
fit_bsts(y, z, lags = 0, MCMC.iter = 5000)
Arguments
y |
A numeric vector (time series response variable). |
z |
A numeric vector or matrix (covariates). |
lags |
Integer, number of lags for the autoregressive component. |
MCMC.iter |
Integer, number of MCMC iterations. |
Value
A fitted BSTS model.
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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