Package: transx 0.0.1.9000
transx: Transform Univariate Time Series
Univariate time series operations that follow an opinionated design. The main principle of 'transx' is to keep the number of observations the same. Operations that reduce this number have to fill the observations gap.
Authors:
transx_0.0.1.9000.tar.gz
transx_0.0.1.9000.zip(r-4.5)transx_0.0.1.9000.zip(r-4.4)transx_0.0.1.9000.zip(r-4.3)
transx_0.0.1.9000.tgz(r-4.4-any)transx_0.0.1.9000.tgz(r-4.3-any)
transx_0.0.1.9000.tar.gz(r-4.5-noble)transx_0.0.1.9000.tar.gz(r-4.4-noble)
transx_0.0.1.9000.tgz(r-4.4-emscripten)transx_0.0.1.9000.tgz(r-4.3-emscripten)
transx.pdf |transx.html✨
transx/json (API)
NEWS
# Install 'transx' in R: |
install.packages('transx', repos = c('https://kvasilopoulos.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/kvasilopoulos/transx/issues
detrendfiltersoutlierstime-seriestransx
Last updated 4 years agofrom:2582d4af53. Checks:OK: 1 ERROR: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 02 2024 |
R-4.5-win | ERROR | Nov 02 2024 |
R-4.5-linux | ERROR | Nov 02 2024 |
R-4.4-win | ERROR | Nov 02 2024 |
R-4.4-mac | ERROR | Nov 02 2024 |
R-4.3-win | ERROR | Nov 02 2024 |
R-4.3-mac | ERROR | Nov 02 2024 |
Exports:blckblck_meandemeandemediandemodediffxdtrend_lindtrend_polydtrend_quadfill_bothfill_linearfill_locffill_nocbfill_splinefill_vecfill_windowfilter_bkfilter_boosted_hpfilter_bwfilter_cffilter_hamiltonfilter_hpfilter_trgmeanlagxldiffxleadxmodexout_iqrout_ptout_score_zout_score_zrobout_thresholdout_winsoriseout_winsorizeplotxpowpow_boxcoxpow_manlypow_tukeypow_yjrdiffxrebaserebase_originrec_maxrec_meanrec_medianrec_minrec_moderec_prodrec_sdrec_sumrec_varrollroll_datarootroot_cubicroot_sqscale_minmaxscale_rangescale_unit_lenscore_chisqscore_madscore_tscore_zselect_lambdaskewnesssmooth_kernelsmooth_loesssmooth_masmooth_splinestd_meanstd_median
Dependencies:rlang