CRAN/E | runstats

runstats

Fast Computation of Running Statistics for Time Series

Installation

About

Provides methods for fast computation of running sample statistics for time series. These include: (1) mean, (2) standard deviation, and (3) variance over a fixed-length window of time-series, (4) correlation, (5) covariance, and (6) Euclidean distance (L2 norm) between short-time pattern and time-series. Implemented methods utilize Convolution Theorem to compute convolutions via Fast Fourier Transform (FFT).

github.com/martakarass/runstats
Bug report File report

Key Metrics

Version 1.1.0
Published 2019-11-14 1632 days ago
Needs compilation? no
License GPL-3
CRAN checks runstats results
Language en-US

Downloads

Yesterday 8 0%
Last 7 days 75 -18%
Last 30 days 258 -2%
Last 90 days 747 -28%
Last 365 days 3.554 -9%

Maintainer

Maintainer

Marta Karas

marta.karass@gmail.com

Authors

Marta Karas

aut / cre

Jacek Urbanek

aut

John Muschelli

ctb

Lacey Etzkorn

ctb

Material

README
NEWS
Reference manual
Package source

In Views

TimeSeries

Vignettes

Examples of using runstats package

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

Old Sources

runstats archive

Imports

fftwtools

Suggests

covr
testthat
ggplot2
knitr
rmarkdown
sessioninfo
rbenchmark
cowplot
spelling

Reverse Imports

arctools