rmaf: Refined Moving Average Filter
Version 3.0.1

Uses refined moving average filter based on the optimal and data-driven moving average lag q or smoothing spline to estimate trend and seasonal components, as well as irregularity (residuals) for univariate time series or data.

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AuthorDebin Qiu
Date of publication2015-04-15 22:05:20
MaintainerDebin Qiu <debinqiu@uga.edu>
LicenseGPL (>= 2)
Version3.0.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("rmaf")

Man pages

globtemp: The First Differences of Annual Golbal Surface Air...
ma.filter: Refined Moving Average Filter
qn: Optimal and Data-Driven Moving Average Lag q
rmaf-package: Refined Moving Average Filter Package
ss.filter: Smoothing Spline Filter.

Functions

globtemp Man page
ma.filter Man page Source code
qn Man page Source code
rmaf Man page
rmaf-package Man page
ss.filter Man page Source code

Files

NAMESPACE
data
data/globtemp.rda
R
R/mafilter.R
R/qn.R
R/ssfilter.R
MD5
DESCRIPTION
man
man/ss.filter.Rd
man/ma.filter.Rd
man/globtemp.Rd
man/rmaf-package.Rd
man/qn.Rd
rmaf documentation built on May 20, 2017, 1:22 a.m.