Package: FARM.eval 1.0.0

FARM.eval: FARM Algorithm Evaluation

Providing data sets and functions used for evaluating the FARM (Forward Alignment Relevance Measure) algorithm. Datasets include energy consumption series from a university research cube in combination with two and four exogenous series consisting 768 and 62840 samples, respectively. To run particular functions from terminal: Rscript $(R -e 'cat(system.file("scripts","FARM.eval.R",package = "FARM.eval"))') --fexecute get.global.rel.meas --parworkers 1 --parobjsize 500.

Authors:Ramón Christen [aut, cre]

FARM.eval_1.0.0.tar.gz
FARM.eval_1.0.0.zip(r-4.7-any)FARM.eval_1.0.0.zip(r-4.6-any)FARM.eval_1.0.0.zip(r-4.5-any)
FARM.eval_1.0.0.tgz(r-4.6-any)FARM.eval_1.0.0.tgz(r-4.5-any)
FARM.eval_1.0.0.tar.gz(r-4.7-any)FARM.eval_1.0.0.tar.gz(r-4.6-any)
FARM.eval_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
FARM.eval/json (API)

# Install 'FARM.eval' in R:

install.packages('FARM.eval', repos = c('https://amishorn.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 16 exports 70 dependencies

Last updated from:0f6ad77892. Checks:7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel	NOTE	221
source / vignettes	OK	290
linux-release	NOTE	173
macos-release	NOTE	141
macos-oldrel	NOTE	129
windows-devel	NOTE	96
windows-release	NOTE	118
windows-oldrel	NOTE	122
wasm-release	OK	125

Exports:alot amss dewarp.idx.univar dist.matrix.wpath edr fit.list.lengths match.slice.df msm multi.warp.series n.vect.phi rm.min robust.minmax scale_quant_range vect.phi vectors.draw warp.idx

Dependencies:backports bit bit64 checkmate class cli clipr codetools cpp11 crayon data.table dplyr dtw DTWBI e1071 entropy FARM future future.apply generics globals glue here hms jsonlite lattice lifecycle listenv lsa lubridate magrittr Matrix matrixprofiler nanoparquet optparse parallelly pillar pkgconfig plotrix png prettyunits progress proxy purrr R6 rappdirs Rcpp RcppThread RcppTOML readr reticulate rlang rlist rprojroot shape SnowballC stringi stringr tibble tidyr tidyselect timechange tsmp tzdb utf8 vctrs vroom withr XML yaml

Help page	Topics
Functions for Evaluating the FARM Algorithm	: FARM.eval.R load.data
######################	: utilies.R load.apply.save
dewarp work bench for alignment evaluation	align.eval.dewarp.bench
extract error statistics of alignment evaluation	align.eval.error.stat
alot dynamic distance	alot
amss dynamic distance	amss
amss warping path	amss.wpath
get.global.rel.meas handler	calc.global.rel.meas
apply de-warping with selected dynamic methods	dewarp.approaches
de-warping univariate series	dewarp.idx.univar
alot texture distance	dist.h
warping path extraction	dist.matrix.wpath
edr dynamic distance	edr
######################	edr.dist
######################	feat.ext
ffalign experiment function	ffalign.exp
ffalign.exp.calc	ffalign.exp.calc
fit list size	fit.list.lengths
calculate global relevance measure	get.global.rel.meas
harmonising results in dewarp.approaches	harm.res
data.frame match-slicing	match.slice.df
msm dynamic distance	msm
######################	msm.cost
msm feature distance	msm.dist
time-warp multiple series	multi.warp.series
n-dim vector angle	n.vect.phi
remove minimum values	rm.min
min-max normalisation	robust.minmax
scale by quantiles	scale_quant_range
test de-warping function	test.dewarp.idx
################	text_extr
vector angle	vect.phi
vector drawing	vectors.draw
time-warp series	warp.idx

Package: FARM.eval 1.0.0

FARM.eval: FARM Algorithm Evaluation

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