Man pages for theftdlc
Analyse and Interpret Time Series Features

classifyFit classifiers using time-series features using a...
clusterPerform cluster analysis of time series using their feature...
compare_featuresConduct statistical testing on time-series feature...
filter_duplicatesRemove duplicate features that exist in multiple feature sets...
filter_good_featuresFilter resample data sets according to good feature list
find_good_featuresHelper function to find features in both train and test set...
fit_modelsFit classification model and compute key metrics
get_rescale_valsCalculate central tendency and spread values for all numeric...
intervalCalculate interval summaries with a measure of central...
make_titleHelper function for converting to title case
plot.feature_calculationsProduce a plot for a feature_calculations object
plot.feature_projectionProduce a plot for a feature_projection object
plot.interval_calculationsProduce a plot for a interval_calculations object
projectProject a feature matrix into a two-dimensional...
resample_dataHelper function to create a resampled dataset
rescale_zscoreCalculate z-score for all columns in a dataset using train...
select_stat_colsHelper function to select only the relevant columns for...
shrinkUse a cross validated penalized maximum likelihood...
stat_testCalculate p-values for feature sets or features relative to...
theftdlcAnalyse and Interpret Time Series Features
theftdlc documentation built on Aug. 8, 2025, 6:30 p.m.