ar1_prec_irregular: Precision matrix for a stationary Gaussian AR(1) process,...
In BenjaK/irregulAR1: Functions for Irregularly Sampled AR(1) Processes
Description
Usage
Arguments
Value
Description
Creates the precision (inverse covariance) matrix of an AR(1) process with
parameters rho and sigma, observed at the time points in the
vector times. The process is assumed to be in stationarity and to
have Gaussian errors.
Usage
1
ar1_prec_irregular(times, rho, sigma)
Arguments
times
An vector of positive integers, preferably ordered.
rho
A real number strictly less than 1 in absolute value.
sigma
A positive real number.
Value
A square matrix with length(times) rows.
BenjaK/irregulAR1 documentation built on May 30, 2019, 3:51 p.m.
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Description Usage Arguments Value
Description
Creates the precision (inverse covariance) matrix of an AR(1) process with
parameters rho and sigma, observed at the time points in the
vector times. The process is assumed to be in stationarity and to
have Gaussian errors.
Usage
1 | ar1_prec_irregular(times, rho, sigma)
|
Arguments
times |
An vector of positive integers, preferably ordered. |
rho |
A real number strictly less than 1 in absolute value. |
sigma |
A positive real number. |
Value
A square matrix with length(times) rows.
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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