Package: fromo 0.2.4

Steven E. Pav

fromo: Fast Robust Moments

Fast, numerically robust computation of weighted moments via 'Rcpp'. Supports computation on vectors and matrices, and Monoidal append of moments. Moments and cumulants over running fixed length windows can be computed, as well as over time-based windows. Moment computations are via a generalization of Welford's method, as described by Bennett et. (2009) <doi:10.1109/CLUSTR.2009.5289161>.

Authors:Steven E. Pav [aut, cre]

fromo_0.2.4.tar.gz
fromo_0.2.4.tar.gz(r-4.5-noble)fromo_0.2.4.tar.gz(r-4.4-noble)
fromo_0.2.4.tgz(r-4.4-emscripten)fromo_0.2.4.tgz(r-4.3-emscripten)
fromo.pdf |fromo.html
fromo/json (API)

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

Peer review:

Bug tracker:https://github.com/shabbychef/fromo/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

cpp

3.52 score 22 scripts 639 downloads 79 exports 1 dependencies

Last updated 7 days agofrom:16f654c661. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 30 2024
R-4.5-linux-x86_64OKNov 30 2024

Exports:%-%as.centcosumsas.centcosums.defaultas.centsumsas.centsums.defaultc.centcosumsc.centsumscent_comomentscent_cosumscent_cumulantscent_momentscent_sumscent2rawcentcosumscentsumscomomentscosumsjoin_cent_cosumsjoin_cent_sumskurt5momentsrunning_apx_medianrunning_apx_quantilesrunning_cent_momentsrunning_centeredrunning_correlationrunning_covariancerunning_covariance_3running_cumulantsrunning_kurtrunning_kurt5running_meanrunning_regression_diagnosticsrunning_regression_fitrunning_regression_interceptrunning_regression_sloperunning_scaledrunning_sdrunning_sd3running_sharperunning_skewrunning_skew4running_std_momentsrunning_sumrunning_tstatrunning_zscoredsd3showskew4std_cumulantsstd_momentssumst_running_apx_mediant_running_apx_quantilest_running_cent_momentst_running_centeredt_running_correlationt_running_covariancet_running_covariance_3t_running_cumulantst_running_kurtt_running_kurt5t_running_meant_running_regression_diagnosticst_running_regression_fitt_running_regression_interceptt_running_regression_slopet_running_scaledt_running_sdt_running_sd3t_running_sharpet_running_skewt_running_skew4t_running_std_momentst_running_sumt_running_tstatt_running_zscoredunjoin_cent_cosumsunjoin_cent_sums

Dependencies:Rcpp

Using the fromo package

Rendered fromfromo.Rnwusingknitr::knitron Nov 30 2024.

Last update: 2024-11-30
Started: 2019-01-13

Readme and manuals

Help Manual

Help pageTopics
Fast Robust Moments.fromo-package fromo
unconcatenate centsums objects.%-% %-%,centsums,centsums-method
unconcatenate centcosums objects.%-%,centcosums,centcosums-method
Accessor methods.accessor moments moments,centsums-method sums sums,centsums-method
Coerce to a centcosums object.as.centcosums as.centcosums.default
Coerce to a centsums object.as.centsums as.centsums.default
concatenate centcosums objects.c.centcosums
concatenate centsums objects.c.centsums
Multivariate centered sums; join and unjoined.cent_comoments cent_cosums join_cent_cosums unjoin_cent_cosums
Centered sums; join and unjoined.cent_sums join_cent_sums unjoin_cent_sums
Convert between different types of moments, raw, central, standardized.cent2raw
Accessor methods.centcosums-accessor comoments comoments,centcosums-method cosums cosums,centcosums-method sums,centcosums-method
centcosums Class.centcosums centcosums-class initialize,centcosums-class initialize,centcosums-method
centsums Class.centsums centsums-class initialize,centsums-class initialize,centsums-method
News for package 'fromo':fromo-NEWS
Compute approximate quantiles over a sliding windowrunning_apx_median running_apx_quantiles
Compare data to moments computed over a sliding window.running_centered running_scaled running_sharpe running_tstat running_zscored
Compute covariance, correlation, regression over a sliding windowrunning_correlation running_covariance running_covariance_3 running_regression_diagnostics running_regression_fit running_regression_intercept running_regression_slope
Compute first K moments over a sliding windowrunning_cent_moments running_cumulants running_kurt running_kurt5 running_sd running_sd3 running_skew running_skew4 running_std_moments
Compute sums or means over a sliding window.running_mean running_sum
Compute first K momentscent_cumulants cent_moments kurt5 sd3 skew4 std_cumulants std_moments
Show a centsums object.show show,centsums-method
Compute approximate quantiles over a sliding time windowt_running_apx_median t_running_apx_quantiles
Compare data to moments computed over a time sliding window.t_running_centered t_running_scaled t_running_sharpe t_running_tstat t_running_zscored
Compute covariance, correlation, regression over a sliding time-based windowt_running_correlation t_running_covariance t_running_covariance_3 t_running_regression_diagnostics t_running_regression_fit t_running_regression_intercept t_running_regression_slope
Compute first K moments over a sliding time-based windowt_running_cent_moments t_running_cumulants t_running_kurt t_running_kurt5 t_running_sd t_running_sd3 t_running_skew t_running_skew4 t_running_std_moments
Compute sums or means over a sliding time window.t_running_mean t_running_sum