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-rw-r--r--man/idpoly.Rd16
1 files changed, 11 insertions, 5 deletions
diff --git a/man/idpoly.Rd b/man/idpoly.Rd
index 3f82594..7c33be9 100644
--- a/man/idpoly.Rd
+++ b/man/idpoly.Rd
@@ -4,20 +4,25 @@
\alias{idpoly}
\title{Polynomial model with identifiable parameters}
\usage{
-idpoly(A = 1, B = 1, C = 1, D = 1, F1 = 1, ioDelay = 0, Ts = 1)
+idpoly(A = 1, B = 1, C = 1, D = 1, F1 = 1, ioDelay = 0, Ts = 1,
+ noiseVar = 1, unit = c("seconds", "minutes", "hours", "days")[1])
}
\arguments{
-\item{A}{Autoregressive coefficients}
+\item{A}{autoregressive coefficients}
-\item{B, F1}{Coefficients of the numerator and denominator respectively
+\item{B, F1}{coefficients of the numerator and denominator respectively
of the deterministic model between the input and output}
-\item{C, D}{Coefficients of the numerator and denominator respectively
+\item{C, D}{coefficients of the numerator and denominator respectively
of the stochastic model}
\item{ioDelay}{the delay in the input-output channel}
\item{Ts}{sampling interval}
+
+\item{noiseVar}{variance of the white noise source (Default=\code{1})}
+
+\item{unit}{time unit (Default=\code{"seconds"})}
}
\description{
Creates a polynomial model with identifiable coefficients
@@ -31,7 +36,8 @@ Discrete-time polynomials are of the form
}
\examples{
# define output-error model
-mod_oe <- idpoly(B=c(0.6,-0.2),F1=c(1,-0.5),ioDelay = 2,Ts=0.1)
+mod_oe <- idpoly(B=c(0.6,-0.2),F1=c(1,-0.5),ioDelay = 2,Ts=0.1,
+noiseVar = 0.1)
# define box-jenkins model
B <- c(0.6,-0.2)