R Graphical Manual

Last data update: 2014.03.03

Data Source

R Release (3.2.3)
CranContrib
BioConductor
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Results 1 - 8 of 8 found.
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fit.mar1s (Package: mar1s) : Fit Multiplicative AR(1) with Seasonal Process to Data

Fits Multiplicative AR(1) with Seasonal process model to time series.

● Data Source: CranContrib
● Keywords: models, multivariate, ts
● Alias: fit.mar1s
● 0 images

sim.mar1s (Package: mar1s) : Simulate from MAR(1)S Process

sim.mar1s simulates from MAR(1)S process.

● Data Source: CranContrib
● Keywords: models, multivariate, ts
● Alias: predict.mar1s, sim.mar1s
● 0 images

seasonal.ave (Package: mar1s) : Averaged Seasonal Component of Time Series

Extracts seasonal component of time series by averaging observations on the same position in the cycle.

● Data Source: CranContrib
● Keywords: ts
● Alias: seasonal.ave
● 0 images

seasonal.smooth (Package: mar1s) : Smooth Seasonal Component of Time Series

Extracts seasonal component of time series by fitting the data with a linear combination of smooth periodic functions.

● Data Source: CranContrib
● Keywords: ts
● Alias: seasonal.smooth
● 0 images

mar1s-internal (Package: mar1s) : Internal mar1s objects

Internal mar1s objects.

● Data Source: CranContrib
● Keywords: internal
● Alias: mar1s-internal
● 0 images

compose.mar1s (Package: mar1s) : Compose and Decompose MAR(1)S Process

compose.mar1s composes MAR(1)S process realization by given vector of log-innovations.

● Data Source: CranContrib
● Keywords: models, multivariate, ts
● Alias: compose.mar1s, decompose.mar1s
● 0 images

mar1s-package (Package: mar1s) :

Multiplicative AR(1) with Seasonal is a stochastic process model built on top of AR(1). The package provides the following procedures for MAR(1)S processes: fit, compose, decompose, advanced simulate and predict.

● Data Source: CranContrib
● Keywords: models, multivariate, package, ts
● Alias: mar1s, mar1s-package
● 0 images

compose.ar1 (Package: mar1s) : Compose and Decompose AR(1) Process

compose.ar1 composes AR(1) process realization by given vector(s) of innovations.

● Data Source: CranContrib
● Keywords: models, multivariate, ts
● Alias: compose.ar1, decompose.ar1
● 0 images