LPTime: LP Nonparametric Approach to Non-Gaussian Non-Linear Time Series Modelling
Version 1.0-2

Specially designed rank transform based Legendre Polynomial-like (LP) orthonormal transformations are implemented for non-linear signal processing.

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AuthorSubhadeep Mukhopadhyay, Shinjini Nandi
Date of publication2015-03-03 20:37:11
MaintainerShinjini Nandi <shinjini.nandi@temple.edu>
LicenseGPL (>= 2)
Version1.0-2
URL http://sites.temple.edu/deepstat/d-products/
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("LPTime")

Man pages

EyeTrack.sample: EyeTrack.sample: Coordinates of eye-trajectory
LPiTrack: Algorithm for eye-movement signal processing
LP.moment: Finds LP moments of a random variable or comoments of two...
LPTime: Fits Vector Autoregressive model on LP transformed time...
LPTime-package: Algorithm to analyze nonlinear time series data
LPTrans: This function computes m specially-designed LP orthonormal...
VAR: Estimates a Vector Autoregressive model of order p.

Functions

EyeTrack.sample Man page
LP.comoment Man page Source code
LP.moment Man page Source code
LPTime Man page Source code
LPTime-package Man page
LPTrans Man page Source code
LPiTrack Man page Source code
VAR Man page Source code

Files

NAMESPACE
data
data/EyeTrack.sample.rda
R
R/LPiTrack.R
R/VAR.R
R/LP.comoment.R
R/LPTrans.R
R/LPTime.R
R/LP.moment.R
MD5
DESCRIPTION
man
man/LPTime-package.Rd
man/LPTime.Rd
man/VAR.Rd
man/LPTrans.Rd
man/LPiTrack.Rd
man/EyeTrack.sample.Rd
man/LP.moment.Rd
LPTime documentation built on May 29, 2017, 9 p.m.