Showing 14 of total 14 results (show query)
tidyverse
hms:Pretty Time of Day
Implements an S3 class for storing and formatting time-of-day values, based on the 'difftime' class.
Maintained by Kirill Müller. Last updated 3 days ago.
141 stars 16.54 score 1.3k scripts 3.2k dependents
business-science
timetk:A Tool Kit for Working with Time Series
Easy visualization, wrangling, and feature engineering of time series data for forecasting and machine learning prediction. Consolidates and extends time series functionality from packages including 'dplyr', 'stats', 'xts', 'forecast', 'slider', 'padr', 'recipes', and 'rsample'.
Maintained by Matt Dancho. Last updated 1 years ago.
coercioncoercion-functionsdata-miningdplyrforecastforecastingforecasting-modelsmachine-learningseries-decompositionseries-signaturetibbletidytidyquanttidyversetimetime-seriestimeseries
626 stars 14.20 score 4.0k scripts 16 dependents
vspinu
timechange:Efficient Manipulation of Date-Times
Efficient routines for manipulation of date-time objects while accounting for time-zones and daylight saving times. The package includes utilities for updating of date-time components (year, month, day etc.), modification of time-zones, rounding of date-times, period addition and subtraction etc. Parts of the 'CCTZ' source code, released under the Apache 2.0 License, are included in this package. See <https://github.com/google/cctz> for more details.
Maintained by Vitalie Spinu. Last updated 1 years ago.
ceilingdate-timeperiodroundingtimetime-zonesupdatecpp
30 stars 12.12 score 68 scripts 1.9k dependentsbusiness-science
modeltime:The Tidymodels Extension for Time Series Modeling
The time series forecasting framework for use with the 'tidymodels' ecosystem. Models include ARIMA, Exponential Smoothing, and additional time series models from the 'forecast' and 'prophet' packages. Refer to "Forecasting Principles & Practice, Second edition" (<https://otexts.com/fpp2/>). Refer to "Prophet: forecasting at scale" (<https://research.facebook.com/blog/2017/02/prophet-forecasting-at-scale/>.).
Maintained by Matt Dancho. Last updated 5 months ago.
arimadata-sciencedeep-learningetsforecastingmachine-learningmachine-learning-algorithmsmodeltimeprophettbatstidymodelingtidymodelstimetime-seriestime-series-analysistimeseriestimeseries-forecasting
551 stars 10.61 score 1.1k scripts 7 dependentsbusiness-science
tibbletime:Time Aware Tibbles
Built on top of the 'tibble' package, 'tibbletime' is an extension that allows for the creation of time aware tibbles. Some immediate advantages of this include: the ability to perform time-based subsetting on tibbles, quickly summarising and aggregating results by time periods, and creating columns that can be used as 'dplyr' time-based groups.
Maintained by Davis Vaughan. Last updated 4 months ago.
periodicitytibbletimetime-seriestimeseriescpp
177 stars 10.51 score 644 scripts 2 dependents
rstudio
bigD:Flexibly Format Dates and Times to a Given Locale
Format dates and times flexibly and to whichever locales make sense. Parses dates, times, and date-times in various formats (including string-based ISO 8601 constructions). The formatting syntax gives the user many options for formatting the date and time output in a precise manner. Time zones in the input can be expressed in multiple ways and there are many options for formatting time zones in the output as well. Several of the provided helper functions allow for automatic generation of locale-aware formatting patterns based on date/time skeleton formats and standardized date/time formats with varying specificity.
Maintained by Richard Iannone. Last updated 25 days ago.
datedatetimeeasy-to-usei18ntime
19 stars 9.46 score 1 scripts 112 dependentsbusiness-science
sweep:Tidy Tools for Forecasting
Tidies up the forecasting modeling and prediction work flow, extends the 'broom' package with 'sw_tidy', 'sw_glance', 'sw_augment', and 'sw_tidy_decomp' functions for various forecasting models, and enables converting 'forecast' objects to "tidy" data frames with 'sw_sweep'.
Maintained by Matt Dancho. Last updated 1 years ago.
broomforecastforecasting-modelspredictiontidytidyversetimetime-seriestimeseries
155 stars 9.23 score 399 scripts 1 dependentsbusiness-science
modeltime.ensemble:Ensemble Algorithms for Time Series Forecasting with Modeltime
A 'modeltime' extension that implements time series ensemble forecasting methods including model averaging, weighted averaging, and stacking. These techniques are popular methods to improve forecast accuracy and stability.
Maintained by Matt Dancho. Last updated 8 months ago.
ensembleensemble-learningforecastforecastingmodeltimestackingstacking-ensembletidymodelstimetime-seriestimeseries
77 stars 8.30 score 143 scripts
idem-lab
traveltime:Calculate Travel Times Over Space
Calculate travel time over a friction surface from a specified set of locations.
Maintained by Gerry Ryan. Last updated 12 days ago.
timetimetraveltraveltraveltime
9 stars 5.32 score 26 scripts
hms-dbmi
EHRtemporalVariability:Delineating Temporal Dataset Shifts in Electronic Health Records
Functions to delineate temporal dataset shifts in Electronic Health Records through the projection and visualization of dissimilarities among data temporal batches. This is done through the estimation of data statistical distributions over time and their projection in non-parametric statistical manifolds, uncovering the patterns of the data latent temporal variability. 'EHRtemporalVariability' is particularly suitable for multi-modal data and categorical variables with a high number of values, common features of biomedical data where traditional statistical process control or time-series methods may not be appropriate. 'EHRtemporalVariability' allows you to explore and identify dataset shifts through visual analytics formats such as Data Temporal heatmaps and Information Geometric Temporal (IGT) plots. An additional 'EHRtemporalVariability' Shiny app can be used to load and explore the package results and even to allow the use of these functions to those users non-experienced in R coding. (Sáez et al. 2020) <doi:10.1093/gigascience/giaa079>.
Maintained by Carlos Sáez. Last updated 11 months ago.
biomedical-data-sciencebiomedical-informaticsdata-qualitydata-quality-monitoringdataset-shiftselectronic-health-recordstimevariabilityvisualization
17 stars 5.27 score 22 scripts
gerrymanoim
humanize:Create Values for Human Consumption
An almost direct port of the 'python' 'humanize' package <https://github.com/jmoiron/humanize>. This package contains utilities to convert values into human readable forms.
Maintained by Gerry Manoim. Last updated 7 years ago.
datehumanhuman-readablenumbertime
13 stars 5.10 score 13 scripts 5 dependents
alec-stashevsky
blocklength:Select an Optimal Block-Length to Bootstrap Dependent Data (Block Bootstrap)
A set of functions to select the optimal block-length for a dependent bootstrap (block-bootstrap). Includes the Hall, Horowitz, and Jing (1995) <doi:10.1093/biomet/82.3.561> subsampling-based cross-validation method, the Politis and White (2004) <doi:10.1081/ETC-120028836> Spectral Density Plug-in method, including the Patton, Politis, and White (2009) <doi:10.1080/07474930802459016> correction, and the Lahiri, Furukawa, and Lee (2007) <doi:10.1016/j.stamet.2006.08.002> nonparametric plug-in method, with a corresponding set of S3 plot methods.
Maintained by Alec Stashevsky. Last updated 21 days ago.
block-bootstrapblock-resamplingblocklengthbootbootstrapdepedent-bootstrapdependenthorowitzinferencemebootpolitisresamplestatstimetime-seriestime-series-analysistseries
4 stars 4.78 score 8 scripts
spang-lab
FastRet:Retention Time Prediction in Liquid Chromatography
A framework for predicting retention times in liquid chromatography. Users can train custom models for specific chromatography columns, predict retention times using existing models, or adjust existing models to account for altered experimental conditions. The provided functionalities can be accessed either via the R console or via a graphical user interface. Related work: Bonini et al. (2020) <doi:10.1021/acs.analchem.9b05765>.
Maintained by Tobias Schmidt. Last updated 2 months ago.
retentiontimechromotographylc-msdata-sciencelcmsopenjdk
3.48 score 4 scripts
sthonnard
tzupdater:Time Zone Database Updater
Download and compile any version of the IANA Time Zone Database (also known as Olson database) and make it current in your R session. Beware: on Windows 'Cygwin' is required!
Maintained by Sebastien Thonnard. Last updated 1 years ago.
1 stars 2.70 score