CRAN/E | AutoregressionMDE

AutoregressionMDE

Minimum Distance Estimation in Autoregressive Model

Installation

About

Consider autoregressive model of order p where the distribution function of innovation is unknown, but innovations are independent and symmetrically distributed. The package contains a function named ARMDE which takes X (vector of n observations) and p (order of the model) as input argument and returns minimum distance estimator of the parameters in the model.

Key Metrics

Version 1.0
R ≥ 3.2.2
Published 2015-09-14 2938 days ago
Needs compilation? no
License GPL-2
CRAN checks AutoregressionMDE results

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Maintainer

Maintainer

Jiwoong Kim

kimjiwo2@stt.msu.edu

Authors

Jiwoong Kim

aut / cre

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 3.2.2