Package: tsexplorer 0.1.0

tsexplorer: Exploratory and Diagnostic Tools for Time Series and Forecasts

Exploratory, descriptive and diagnostic tools for univariate and multivariate time series and tools to evaluate and compare forecasts: summary statistics and gaussianity tests; sample autocorrelation functions with the Ljung and Box (1978) <doi:10.1093/biomet/65.2.297> and Monti (1994) <doi:10.2307/2337080> tests; information criteria and Granger (1969) <doi:10.2307/1912791> causality; unit root tests of Dickey and Fuller (1979) <doi:10.1080/01621459.1979.10482531> and Phillips and Perron (1988) <doi:10.1093/biomet/75.2.335>; the cointegration test of Johansen (1988) <doi:10.1016/0165-1889(88)90041-3>; heteroskedasticity tests; non-linearity tests of McLeod and Li (1983) <doi:10.1111/j.1467-9892.1983.tb00373.x>, Tsay (1986) <doi:10.1093/biomet/73.2.461> and Brock, Dechert, Scheinkman and LeBaron (1996) <doi:10.1080/07474939608800353>; spectral analysis; and forecast accuracy measures with the Diebold and Mariano (1995) <doi:10.1080/07350015.1995.10524599>, sign and Wilcoxon tests. Every tool is a pure function returning an object with print and plot methods; the graphical interfaces tooltest() and toolforecast() ('Tcl/Tk' windows or 'shiny' applications) give interactive access to all of them.

Authors:Diego J. Pedregal [aut, cre, cph], Ludwig Kanzler [ctb]

tsexplorer_0.1.0.tar.gz
tsexplorer_0.1.0.zip(r-4.7-any)tsexplorer_0.1.0.zip(r-4.6-any)tsexplorer_0.1.0.zip(r-4.5-any)
tsexplorer_0.1.0.tgz(r-4.6-any)tsexplorer_0.1.0.tgz(r-4.5-any)
tsexplorer_0.1.0.tar.gz(r-4.7-any)tsexplorer_0.1.0.tar.gz(r-4.6-any)
tsexplorer_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
tsexplorer/json (API)

# Install 'tsexplorer' in R:
install.packages('tsexplorer', repos = c('https://djpedregal.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/djpedregal/tsexplorer/issues

Datasets:

On CRAN:

Conda:

3.00 score 3 scripts 36 exports 0 dependencies

Last updated from:542370c199. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK151
source / vignettesOK183
linux-releaseOK148
macos-releaseOK207
macos-oldrelOK206
windows-develOK150
windows-releaseOK106
windows-oldrelOK100
wasm-releaseOK101

Exports:adfcriticaladftestas_tsx_matrixfaccuracyfcomparefplotgausstestjohansentestmedanltestsplotbandstdmeansumstatstesthettoolforecasttooltesttooltest_defaultsvarsbcvarsbc2varspectrumvbdsvboxcoxvboxplotvcumperiodvcusumvdifvgrangervhistvidentvident2vphillipsvqqplotvscattervspectrumvtboxplotvtsay

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Approximate p-values of Dickey-Fuller statisticsadfcritical
Augmented Dickey-Fuller unit root testsadftest
Airline passengersairpas
Convert input data to the matrix format used by tsexploreras_tsx_matrix
Electricity dataelectricity
Forecast accuracy measuresfaccuracy
Forecast comparison testsfcompare
Plot of actual values and forecastsfplot
Gas furnace datafurnace
Gas and electricity datagaselec
Gaussianity testsgausstest
Johansen cointegration testsjohansentest
Lydia Pinkham advertising and saleslydia_pinkham
Median absolute deviation with respect to the medianmeda
Nile river flownile
Non-linearity tests based on squaresnltests
Time series plot with confidence bandsplotband
SCC datascc
Standard deviation - mean plotsstdmean
Steel datasteel
Summary descriptive statisticssumstats
Heteroskedasticity teststesthet
Interactive forecasting tooltoolforecast
Interactive test tooltooltest
Default options of the tools of tooltest()tooltest_defaults
Unemployment dataunemployment
US GDPusgdp
Information criteria of AR and VAR modelsvarsbc
Non-linearity test based on the Schwarz criterion of squaresvarsbc2
Autoregressive spectrumvarspectrum
BDS test of independencevbds
Box-Cox transformationvboxcox
Box plot of a time series by groups of 's' consecutive observationsvboxplot
Cumulative periodogramvcumperiod
CUSUM and CUSUM of squares testsvcusum
Differencing of a vector of time seriesvdif
Granger causality testsvgranger
Histogram with gaussian and non-parametric density estimatesvhist
Road casualtiesvictims
Sample autocorrelation and partial autocorrelation functionsvident
Multivariate sample autocorrelation functionsplot.tsx_vident2 vident2
Phillips-Perron unit root testsvphillips
Normal QQ plotvqqplot
Scatter plotsvscatter
Spectrum, cross spectrum, gains and coherencevspectrum
Transpose box plot of a time seriesvtboxplot
Tsay (1986) non-linearity testvtsay