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\description{
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\description{
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  Use Kalman Filtering to find the (Gaussian) log-likelihood, or for
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  Use Kalman Filtering to find the (Gaussian) log-likelihood, or for
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  forecasting or smoothing.
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  forecasting or smoothing.
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}
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}
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\usage{
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\usage{
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KalmanLike(y, mod, nit = 0, fast=TRUE)
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KalmanLike(y, mod, nit = 0, fast = TRUE)
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KalmanRun(y, mod, nit = 0, fast=TRUE)
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KalmanRun(y, mod, nit = 0, fast = TRUE)
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KalmanSmooth(y, mod, nit = 0)
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KalmanSmooth(y, mod, nit = 0)
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KalmanForecast(n.ahead = 10, mod, fast=TRUE)
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KalmanForecast(n.ahead = 10, mod, fast = TRUE)
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makeARIMA(phi, theta, Delta, kappa = 1e6)
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makeARIMA(phi, theta, Delta, kappa = 1e6)
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}
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}
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\arguments{
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\arguments{
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  \item{y}{a univariate time series.}
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  \item{y}{a univariate time series.}
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  \item{mod}{A list describing the state-space model: see \sQuote{Details}.}
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  \item{mod}{A list describing the state-space model: see \sQuote{Details}.}