R-universe search: tracker

trackerproject

trackeR:Infrastructure for Running, Cycling and Swimming Data from GPS-Enabled Tracking Devices

Provides infrastructure for handling running, cycling and swimming data from GPS-enabled tracking devices within R. The package provides methods to extract, clean and organise workout and competition data into session-based and unit-aware data objects of class 'trackeRdata' (S3 class). The information can then be visualised, summarised, and analysed through flexible and extensible methods. Frick and Kosmidis (2017) <doi: 10.18637/jss.v082.i07>, which is updated and maintained as one of the vignettes, provides detailed descriptions of the package and its methods, and real-data demonstrations of the package functionality.

Maintained by Ioannis Kosmidis. Last updated 1 years ago.

56.7 match 90 stars 6.37 score 58 scripts 1 dependents

epimodel

EpiModel:Mathematical Modeling of Infectious Disease Dynamics

Tools for simulating mathematical models of infectious disease dynamics. Epidemic model classes include deterministic compartmental models, stochastic individual-contact models, and stochastic network models. Network models use the robust statistical methods of exponential-family random graph models (ERGMs) from the Statnet suite of software packages in R. Standard templates for epidemic modeling include SI, SIR, and SIS disease types. EpiModel features an API for extending these templates to address novel scientific research aims. Full methods for EpiModel are detailed in Jenness et al. (2018, <doi:10.18637/jss.v084.i08>).

Maintained by Samuel Jenness. Last updated 2 months ago.

agent-based-modeling epidemics epidemiology infectious-diseases network-graph cpp

7.9 match 250 stars 11.57 score 315 scripts

nceas

rt:Interface to the 'Request Tracker' API

Provides a programmatic interface to the 'Request Tracker' (RT) HTTP API <https://rt-wiki.bestpractical.com/wiki/REST>. 'RT' is a popular ticket tracking system.

Maintained by Bryce Mecum. Last updated 4 years ago.

api request-tracker

11.2 match 6 stars 7.98 score 664 scripts

tombeesley

eyetools:Analyse Eye Data

Enables the automation of actions across the pipeline, including initial steps of transforming binocular data and gap repair to event-based processing such as fixations, saccades, and entry/duration in Areas of Interest (AOIs). It also offers visualisation of eye movement and AOI entries. These tools take relatively raw (trial, time, x, and y form) data and can be used to return fixations, saccades, and AOI entries and time spent in AOIs. As the tools rely on this basic data format, the functions can work with data from any eye tracking device. Implements fixation and saccade detection using methods proposed by Salvucci and Goldberg (2000) <doi:10.1145/355017.355028>.

Maintained by Tom Beesley. Last updated 3 months ago.

areas-of-interest attention-visualization cognitive-science dwell-time-algorithm eye-tracker eye-tracking eyetracking ggplot2 psychology psychology-experiments saccades tobii tobii-eye-tracker visualization

14.2 match 4 stars 5.45 score 8 scripts

pepijn-devries

openmpt:Open 'ModPlug' Tracker Port

Tracker music uses audio samples and pattern tables to organise musical compositions. Such music is stored in module files. This package reads, renders and plays module files using the 'libopenmpt' library <https://lib.openmpt.org/>.

Maintained by Pepijn de Vries. Last updated 2 months ago.

audio modules libopenmpt portaudio19 cpp

14.1 match 2 stars 5.43 score 7 scripts

neptune-ai

neptune:MLOps Metadata Store - Experiment Tracking and Model Registry for Production Teams

An interface to Neptune. A metadata store for MLOps, built for teams that run a lot of experiments. It gives you a single place to log, store, display, organize, compare, and query all your model-building metadata. Neptune is used for: • Experiment tracking: Log, display, organize, and compare ML experiments in a single place. • Model registry: Version, store, manage, and query trained models, and model building metadata. • Monitoring ML runs live: Record and monitor model training, evaluation, or production runs live For more information see <https://neptune.ai/>.

Maintained by Rafal Jankowski. Last updated 2 years ago.

compare language log management metadata metrics mlops models monitoring organize parameters store tracker visualization

11.0 match 14 stars 4.89 score 16 scripts

alexander-pastukhov

eyelinkReader:Import Gaze Data for EyeLink Eye Tracker

Import gaze data from edf files generated by the SR Research <https://www.sr-research.com/> EyeLink eye tracker. Gaze data, both recorded events and samples, is imported per trial. The package allows to extract events of interest, such as saccades, blinks, etc. as well as recorded variables and custom events (areas of interest, triggers) into separate tables. The package requires EDF API library that can be obtained at <https://www.sr-research.com/support/>.

Maintained by Alexander Pastukhov. Last updated 3 months ago.

edf eye-tracking eyelink sr-research cpp

6.8 match 13 stars 6.52 score 34 scripts

a-hurst

eyelinker:Import ASC Files from EyeLink Eye Trackers

Imports plain-text ASC data files from EyeLink eye trackers into (relatively) tidy data frames for analysis and visualization.

Maintained by Austin Hurst. Last updated 4 years ago.

7.9 match 7 stars 5.45 score 20 scripts

romanzenka

RUnit:R Unit Test Framework

R functions implementing a standard Unit Testing framework, with additional code inspection and report generation tools.

Maintained by Roman Zenka. Last updated 1 years ago.

3.3 match 2 stars 10.72 score 1.7k scripts 57 dependents

thinkr-open

fcuk:The Ultimate Helper for Clumsy Fingers

Automatically suggests a correction when a typo occurs.

Maintained by Vincent Guyader. Last updated 1 years ago.

error fcuk

4.0 match 92 stars 7.05 score 49 scripts

muschellij2

freesurfer:Wrapper Functions for 'Freesurfer'

Wrapper functions that interface with 'Freesurfer' <https://surfer.nmr.mgh.harvard.edu/>, a powerful and commonly-used 'neuroimaging' software, using system commands. The goal is to be able to interface with 'Freesurfer' completely in R, where you pass R objects of class 'nifti', implemented by package 'oro.nifti', and the function executes an 'Freesurfer' command and returns an R object of class 'nifti' or necessary output.

Maintained by John Muschelli. Last updated 3 months ago.

3.3 match 10 stars 7.69 score 55 scripts 1 dependents

nealrichardson

pivotaltrackR:A Client for the 'Pivotal Tracker' API

'Pivotal Tracker' <https://www.pivotaltracker.com> is a project management software-as-a-service that provides a REST API. This package provides an R interface to that API, allowing you to query it and work with its responses.

Maintained by Neal Richardson. Last updated 2 years ago.

6.6 match 3.70 score 6 scripts

sportsdataverse

hoopR:Access Men's Basketball Play by Play Data

A utility to quickly obtain clean and tidy men's basketball play by play data. Provides functions to access live play by play and box score data from ESPN<https://www.espn.com> with shot locations when available. It is also a full NBA Stats API<https://www.nba.com/stats/> wrapper. It is also a scraping and aggregating interface for Ken Pomeroy's men's college basketball statistics website<https://kenpom.com>. It provides users with an active subscription the capability to scrape the website tables and analyze the data for themselves.

Maintained by Saiem Gilani. Last updated 1 years ago.

basketball college-basketball espn kenpom nba nba-analytics nba-api nba-data nba-statistics nba-stats nba-stats-api ncaa ncaa-basketball ncaa-bracket ncaa-players ncaa-ratings ncaam sportsdataverse

3.5 match 91 stars 6.93 score 261 scripts

mrkaye97

fitbitr:Interface with the 'Fitbit' API

Many 'Fitbit' users, and R-friendly 'Fitbit' users especially, have found themselves curious about their 'Fitbit' data. 'Fitbit' aggregates a large amount of personal data, much of which is interesting for personal research and to satisfy curiosity, and is even potentially useful in medical settings. The goal of 'fitbitr' is to make interfacing with the 'Fitbit' API as streamlined as possible, to make it simple for R users of all backgrounds and comfort levels to analyze their 'Fitbit' data and do whatever they want with it! Currently, 'fitbitr' includes methods for pulling data on activity, sleep, and heart rate, but this list is likely to grow in the future as the package gains more traction and more requests for new methods to be implemented come in. You can find details on the 'Fitbit' API at <https://dev.fitbit.com/build/reference/web-api/>.

Maintained by Matt Kaye. Last updated 5 months ago.

fitbit

4.5 match 16 stars 4.41 score 32 scripts

cran

soundgen:Sound Synthesis and Acoustic Analysis

Performs parametric synthesis of sounds with harmonic and noise components such as animal vocalizations or human voice. Also offers tools for audio manipulation and acoustic analysis, including pitch tracking, spectral analysis, audio segmentation, pitch and formant shifting, etc. Includes four interactive web apps for synthesizing and annotating audio, manually correcting pitch contours, and measuring formant frequencies. Reference: Anikin (2019) <doi:10.3758/s13428-018-1095-7>.

Maintained by Andrey Anikin. Last updated 2 months ago.

4.0 match 1 stars 4.86 score 110 scripts 2 dependents

oxfordihtm

pactr:An Interface to the Pandemic PACT Database

The Pandemic PACT <https://www.pandemicpact.org/> monitors and analyses global funding and research evidence related to diseases with pandemic potential, as well as broader research preparedness efforts, and is equipped to pivot in response to outbreaks. It collects, curates, codes, and analyses data in alignment with WHO priority diseases and other selected illnesses, including pandemic influenza, mpox, and plague. Pandemic PACT aims to guide policy and decision-making for research funders, policymakers, researchers, multilateral agencies. The database is publicly available for download from its website and from Figshare. This package interfaces with the project's Figshare repository to provide programmatic access to the database along with other data products provided by the project.

Maintained by Ernest Guevarra. Last updated 5 months ago.

4.7 match 1 stars 4.07 score 13 scripts

thiyangt

DSjobtracker:What Skills and Qualifications are Required for Data Science Related Jobs?

Dataset containing information about job listings for data science job roles.

Maintained by Thiyanga S. Talagala. Last updated 1 years ago.

dataset qualifications skills statistics tidy

3.4 match 3 stars 4.29 score 13 scripts

oxfordihtm

oxcgrt:An Interface to the Oxford COVID-19 Government Response Tracker API

The Oxford COVID-19 Government Response Tracker (OxCGRT) tracks and compares worldwide government responses to the COVID-19 pandemic rigorously and consistently. OxCGRT makes available systematic information in a consistent way, aiding those who require information have access to it efficiently for their purposes. This package facilitates access to the OxCGRT data via its API <https://covidtracker.bsg.ox.ac.uk/> and includes functions to calculate the various OxCGRT indices in R.

Maintained by Ernest Guevarra. Last updated 11 months ago.

6.8 match 1 stars 2.15 score 14 scripts

stochastictree

stochtree:Stochastic Tree Ensembles (XBART and BART) for Supervised Learning and Causal Inference

Flexible stochastic tree ensemble software. Robust implementations of Bayesian Additive Regression Trees (BART) Chipman, George, McCulloch (2010) <doi:10.1214/09-AOAS285> for supervised learning and Bayesian Causal Forests (BCF) Hahn, Murray, Carvalho (2020) <doi:10.1214/19-BA1195> for causal inference. Enables model serialization and parallel sampling and provides a low-level interface for custom stochastic forest samplers.

Maintained by Drew Herren. Last updated 17 days ago.

bart bayesian-machine-learning bayesian-methods decision-trees gradient-boosted-trees machine-learning probabilistic-models tree-ensembles cpp

1.6 match 20 stars 8.52 score 40 scripts

pik-piam

mrremind:MadRat REMIND Input Data Package

The mrremind packages contains data preprocessing for the REMIND model.

Maintained by Lavinia Baumstark. Last updated 3 days ago.

1.6 match 4 stars 6.25 score 15 scripts 1 dependents

trambakbanerjee

fusionclust:Clustering and Feature Screening using L1 Fusion Penalty

Provides the Big Merge Tracker and COSCI algorithms for convex clustering and feature screening using L1 fusion penalty.

Maintained by Trambak Banerjee. Last updated 4 years ago.

2.5 match 1 stars 3.78 score 12 scripts

pepijn-devries

ProTrackR:Manipulate and Play 'ProTracker' Modules

'ProTracker' is a popular music tracker to sequence music on a Commodore Amiga machine. This package offers the opportunity to import, export, manipulate and play 'ProTracker' module files. Even though the file format could be considered archaic, it still remains popular to this date. This package intends to contribute to this popularity and therewith keeping the legacy of 'ProTracker' and the Commodore Amiga alive.

Maintained by Pepijn de Vries. Last updated 2 months ago.

2.3 match 4 stars 4.12 score 66 scripts

sportsdataverse

wehoop:Access Women's Basketball Play by Play Data

A utility for working with women's basketball data. A scraping and aggregating interface for the WNBA Stats API <https://stats.wnba.com/> and ESPN's <https://www.espn.com> women's college basketball and WNBA statistics. It provides users with the capability to access the game play-by-plays, box scores, standings and results to analyze the data for themselves.

Maintained by Saiem Gilani. Last updated 8 months ago.

college-basketball espn espn-stats ncaa ncaa-basketball professional-basketball-data sportsdataverse wnba wnba-players wnba-stats womens-basketball

1.8 match 28 stars 5.36 score 54 scripts

nicholasjcooper

NCmisc:Miscellaneous Functions for Creating Adaptive Functions and Scripts

A set of handy functions. Includes a versatile one line progress bar, one line function timer with detailed output, time delay function, text histogram, object preview, CRAN package search, simpler package installer, Linux command install check, a flexible Mode function, top function, simulation of correlated data, and more.

Maintained by Nicholas Cooper. Last updated 2 years ago.

2.3 match 3.86 score 172 scripts 5 dependents

extremestats

ASSA:Applied Singular Spectrum Analysis (ASSA)

Functions to model and decompose time series into principal components using singular spectrum analysis (de Carvalho and Rua (2017) <doi:10.1016/j.ijforecast.2015.09.004>; de Carvalho et al (2012) <doi:10.1016/j.econlet.2011.09.007>).

Maintained by Miguel de Carvalho. Last updated 4 years ago.

fortran

4.0 match 2.00 score 9 scripts

yeyuan98

ijAnalysis:Miscellaneous tools for image analysis tasks

A miscellaneous toolbox for various image analysis tasks. Initially contains tools for downstream analysis of my ImageJ plugin Puncta Tracker and hence the ij name. Part of the y3628 analysis suite.

Maintained by Ye Yuan. Last updated 1 months ago.

2.2 match 2.85 score 1 scripts

terminological

arear:Geospatial Convenience Functions and a Supply Demand Catchment Area Generator

Geospatial function collection from the COVID-19 pandemic. The main focus of this was integrating geospatial demographic, hospital capacity and COVID data from England, Scotland, Wales and Northern Ireland, all of which were available on different sites and methods. The UK has a wide range of administrative geographic boundaries for different purposes and moving from different scales and resolutions proved necessary. As the geospatial operations are quite time consuming but don't need to be repeated the ability to cache results of geospatial transformations is useful and embedded into these functions.

Maintained by Robert Challen. Last updated 11 months ago.

1.5 match 4 stars 3.30 score 4 scripts

extremestats

DATAstudio:The Research Data Warehouse of Miguel de Carvalho

Pulls together a collection of datasets from Miguel de Carvalho research articles. Including, for example: - de Carvalho (2012) <doi:10.1016/j.jspi.2011.08.016>; - de Carvalho et al (2012) <doi:10.1080/03610926.2012.709905>; - de Carvalho et al (2012) <doi:10.1016/j.econlet.2011.09.007>); - de Carvalho and Davison (2014) <doi:10.1080/01621459.2013.872651>; - de Carvalho and Rua (2017) <doi:10.1016/j.ijforecast.2015.09.004>.

Maintained by Miguel de Carvalho. Last updated 3 years ago.

4.0 match 1.00 score 2 scripts

trackage

trip:Tracking Data

Access and manipulate spatial tracking data, with straightforward coercion from and to other formats. Filter for speed and create time spent maps from tracking data. There are coercion methods to convert between 'trip' and 'ltraj' from 'adehabitatLT', and between 'trip' and 'psp' and 'ppp' from 'spatstat'. Trip objects can be created from raw or grouped data frames, and from types in the 'sp', sf', 'amt', 'trackeR', 'mousetrap', and other packages, Sumner, MD (2011) <https://figshare.utas.edu.au/articles/thesis/The_tag_location_problem/23209538>.

Maintained by Michael D. Sumner. Last updated 8 months ago.

0.5 match 13 stars 7.72 score 137 scripts 1 dependents

thinkr-open

togglr:'Toggl.com' Api for 'Rstudio'

Use the <https://toggl.com> time tracker api through R.

Maintained by Vincent Guyader. Last updated 1 years ago.

hacktoberfest toggl-api toggler

0.6 match 49 stars 6.81 score 33 scripts

trackerproject

trackeRapp:Interface for the Analysis of Running, Cycling and Swimming Data from GPS-Enabled Tracking Devices

Provides an integrated user interface and workflow for the analysis of running, cycling and swimming data from GPS-enabled tracking devices through the 'trackeR' <https://CRAN.R-project.org/package=trackeR> R package.

Maintained by Ioannis Kosmidis. Last updated 3 years ago.

data-visualization shiny sports-app web-app web-development

0.8 match 32 stars 4.68 score 2 scripts

drjohanlk

kollaR:Filtering, Visualization and Analysis of Eye Tracking Data

Functions for analysing eye tracking data, including event detection (I-VT, I-DT and two means clustering), visualizations and area of interest (AOI) based analyses. See separate documentation for each function. The principles underlying I-VT and I-DT filters are described in Salvucci & Goldberg (2000,\doi{10.1145/355017.355028}). Two-means clustering is described in Hessels et al. (2017, \doi{10.3758/s13428-016-0822-1}).

Maintained by Johan Lundin Kleberg. Last updated 23 days ago.

2.3 match 1.30 score

swarm-lab

swaRm:Processing Collective Movement Data

Function library for processing collective movement data (e.g. fish schools, ungulate herds, baboon troops) collected from GPS trackers or computer vision tracking software.

Maintained by Simon Garnier. Last updated 1 years ago.

animal-behavior animal-behaviour collective-behavior collective-behaviour

0.5 match 21 stars 5.50 score 8 scripts 1 dependents

swarm-lab

trackdf:Data Frame Class for Tracking Data

Data frame class for storing collective movement data (e.g. fish schools, ungulate herds, baboon troops) collected from GPS trackers or computer vision tracking software.

Maintained by Simon Garnier. Last updated 2 years ago.

animal-behavior animal-behaviour gps gps-data

0.5 match 4 stars 5.42 score 11 scripts 1 dependents

pepijn-devries

ProTrackR2:Manipulate and Play 'ProTracker' Modules

'ProTracker' is a popular music tracker to sequence music on a Commodore Amiga machine. This package offers the opportunity to import, export, manipulate and play 'ProTracker' module files. Even though the file format could be considered archaic, it still remains popular to this date. This package intends to contribute to this popularity and therewith keeping the legacy of 'ProTracker' and the Commodore Amiga alive. This package is the successor of 'ProTrackR' providing better performance.

Maintained by Pepijn de Vries. Last updated 3 months ago.

cpp

0.5 match 5.20 score 7 scripts

marinapapa

swaRmverse:Swarm Space Creation

Provides a pipeline for the comparative analysis of collective movement data (e.g. fish schools, bird flocks, baboon troops) by processing 2-dimensional positional data (x,y,t) from GPS trackers or computer vision tracking systems, discretizing events of collective motion, calculating a set of established metrics that characterize each event, and placing the events in a multi-dimensional swarm space constructed from these metrics. The swarm space concept, the metrics and data sets included are described in: Papadopoulou Marina, Furtbauer Ines, O'Bryan Lisa R., Garnier Simon, Georgopoulou Dimitra G., Bracken Anna M., Christensen Charlotte and King Andrew J. (2023) <doi:10.1098/rstb.2022.0068>.

Maintained by Marina Papadopoulou. Last updated 5 months ago.

0.5 match 2 stars 5.13 score 15 scripts

eflores89

nasadata:Interface to Various NASA API's

Provides functions to access NASA's Earth Imagery and Assets API and the Earth Observatory Natural Event Tracker (EONET) webservice.

Maintained by Eduardo Flores. Last updated 9 years ago.

0.5 match 21 stars 4.10 score 12 scripts

akkyro

PupilPre:Preprocessing Pupil Size Data

Pupillometric data collected using SR Research Eyelink eye trackers requires significant preprocessing. This package contains functions for preparing pupil dilation data for visualization and statistical analysis. Specifically, it provides a pipeline of functions which aid in data validation, the removal of blinks/artifacts, downsampling, and baselining, among others. Additionally, plotting functions for creating grand average and conditional average plots are provided. See the vignette for samples of the functionality. The package is designed for handling data collected with SR Research Eyelink eye trackers using Sample Reports created in SR Research Data Viewer.

Maintained by Aki-Juhani Kyröläinen. Last updated 5 years ago.

0.8 match 2.81 score 13 scripts

vincentporretta

VWPre:Tools for Preprocessing Visual World Data

Gaze data from the Visual World Paradigm requires significant preprocessing prior to plotting and analyzing the data. This package provides functions for preparing visual world eye-tracking data for statistical analysis and plotting. It can prepare data for linear analyses (e.g., ANOVA, Gaussian-family LMER, Gaussian-family GAMM) as well as logistic analyses (e.g., binomial-family LMER and binomial-family GAMM). Additionally, it contains various plotting functions for creating grand average and conditional average plots. See the vignette for samples of the functionality. Currently, the functions in this package are designed for handling data collected with SR Research Eyelink eye trackers using Sample Reports created in SR Research Data Viewer. While we would like to add functionality for data collected with other systems in the future, the current package is considered to be feature-complete; further updates will mainly entail maintenance and the addition of minor functionality.

Maintained by Vincent Porretta. Last updated 4 years ago.

0.5 match 4.28 score 80 scripts 1 dependents

z0on

MCMC.qpcr:Bayesian Analysis of qRT-PCR Data

Quantitative RT-PCR data are analyzed using generalized linear mixed models based on lognormal-Poisson error distribution, fitted using MCMC. Control genes are not required but can be incorporated as Bayesian priors or, when template abundances correlate with conditions, as trackers of global effects (common to all genes). The package also implements a lognormal model for higher-abundance data and a "classic" model involving multi-gene normalization on a by-sample basis. Several plotting functions are included to extract and visualize results. The detailed tutorial is available here: <https://matzlab.weebly.com/uploads/7/6/2/2/76229469/mcmc.qpcr.tutorial.v1.2.4.pdf>.

Maintained by Mikhail V. Matz. Last updated 5 years ago.

0.5 match 2 stars 1.85 score 35 scripts

cran

eyeTrackR:Organising and Analysing Eye-Tracking Data

A set of functions for organising and analysing datasets from experiments run using 'Eyelink' eye-trackers. Organising functions help to clean and prepare eye-tracking datasets for analysis, and mark up key events such as display changes and responses made by participants. Analysing functions help to create means for a wide range of standard measures (such as 'mean fixation durations'), which can then be fed into the appropriate statistical analyses and graphing packages as necessary.

Maintained by Hayward Godwin. Last updated 5 years ago.

0.5 match 1.00 score