Showing 77 of total 77 results (show query)
gogonzo
sport:Sequential Pairwise Online Rating Techniques
Calculates ratings for two-player or multi-player challenges. Methods included in package such as are able to estimate ratings (players strengths) and their evolution in time, also able to predict output of challenge. Algorithms are based on Bayesian Approximation Method, and they don't involve any matrix inversions nor likelihood estimation. Parameters are updated sequentially, and computation doesn't require any additional RAM to make estimation feasible. Additionally, base of the package is written in C++ what makes sport computation even faster. Methods used in the package refers to Mark E. Glickman (1999) <http://www.glicko.net/research/glicko.pdf>; Mark E. Glickman (2001) <doi:10.1080/02664760120059219>; Ruby C. Weng, Chih-Jen Lin (2011) <http://jmlr.csail.mit.edu/papers/volume12/weng11a/weng11a.pdf>; W. Penny, Stephen J. Roberts (1999) <doi:10.1109/IJCNN.1999.832603>.
Maintained by Dawid Kałędkowski. Last updated 5 years ago.
59.9 match 25 stars 5.78 score 24 scripts
sportsdataverse
sportyR:Plot Scaled 'ggplot' Representations of Sports Playing Surfaces
Create scaled 'ggplot' representations of playing surfaces. Playing surfaces are drawn pursuant to rule-book specifications. This package should be used as a baseline plot for displaying any type of tracking data.
Maintained by Ross Drucker. Last updated 2 months ago.
footballggplot2playing-surfacessportsports-analyticssports-datasports-tracking-datasportsdataversevisualization
39.6 match 104 stars 8.08 score 97 scripts
lzumeta
injurytools:A Toolkit for Sports Injury and Illness Data Analysis
Sports Injury Data analysis aims to identify and describe the magnitude of the injury problem, and to gain more insights (e.g. determine potential risk factors) by statistical modelling approaches. The 'injurytools' package provides standardized routines and utilities that simplify such analyses. It offers functions for data preparation, informative visualizations and descriptive and model-based analyses.
Maintained by Lore Zumeta Olaskoaga. Last updated 5 months ago.
33.4 match 5 stars 6.31 score 27 scripts
kjhealy
gssrdoc:Document General Social Survey Variable
The General Social Survey (GSS) is a long-running, mostly annual survey of US households. It is administered by the National Opinion Research Center (NORC). This package contains the a tibble with information on the survey variables, together with every variable documented as an R help page. For more information on the GSS see \url{http://gss.norc.org}.
Maintained by Kieran Healy. Last updated 12 months ago.
45.2 match 2.28 score 38 scripts
nflverse
nflreadr:Download 'nflverse' Data
A minimal package for downloading data from 'GitHub' repositories of the 'nflverse' project.
Maintained by Tan Ho. Last updated 4 months ago.
nflnflfastrnflversesports-data
7.5 match 66 stars 12.46 score 476 scripts 10 dependentssportsdataverse
oddsapiR:Access Live Sports Odds from the Odds API
A utility to quickly obtain clean and tidy sports odds from The Odds API <https://the-odds-api.com>.
Maintained by Saiem Gilani. Last updated 2 years ago.
bettingbetting-oddssports-oddssportsdataverse
23.3 match 6 stars 3.48 score 8 scriptsnflverse
nflfastR:Functions to Efficiently Access NFL Play by Play Data
A set of functions to access National Football League play-by-play data from <https://www.nfl.com/>.
Maintained by Ben Baldwin. Last updated 4 hours ago.
american-footballfootball-datanflnflstatsnflversesports-analytics
7.5 match 442 stars 10.11 score 596 scripts 3 dependents
jaseziv
worldfootballR:Extract and Clean World Football (Soccer) Data
Allow users to obtain clean and tidy football (soccer) game, team and player data. Data is collected from a number of popular sites, including 'FBref', transfer and valuations data from 'Transfermarkt'<https://www.transfermarkt.com/> and shooting location and other match stats data from 'Understat'<https://understat.com/>. It gives users the ability to access data more efficiently, rather than having to export data tables to files before being able to complete their analysis.
Maintained by Jason Zivkovic. Last updated 1 months ago.
fbreffootballfootball-datasoccer-datasports-datatransfermarktunderstat
7.5 match 506 stars 9.89 score 516 scripts 2 dependents
beanumber
teamcolors:Color Palettes for Pro Sports Teams
Provides color palettes corresponding to professional and amateur, sports teams. These can be useful in creating data graphics that are themed for particular teams.
Maintained by Benjamin S. Baumer. Last updated 5 months ago.
10.8 match 48 stars 6.46 score 202 scripts
alanarnholt
BSDA:Basic Statistics and Data Analysis
Data sets for book "Basic Statistics and Data Analysis" by Larry J. Kitchens.
Maintained by Alan T. Arnholt. Last updated 2 years ago.
7.3 match 7 stars 9.11 score 1.3k scripts 6 dependents
openvolley
datavolley:Reading and Analyzing DataVolley Scout Files
Provides functions for parsing and working with volleyball match files in DataVolley format.
Maintained by Ben Raymond. Last updated 2 months ago.
openvolleysports-analyticsvolleyball
7.5 match 31 stars 8.24 score 94 scripts 11 dependents
scasanova
f1dataR:Access Formula 1 Data
Obtain Formula 1 data via the 'Jolpica API' <https://jolpi.ca> and the unofficial API <https://www.formula1.com/en/timing/f1-live> via the 'fastf1' 'Python' library <https://docs.fastf1.dev/>.
Maintained by Santiago Casanova. Last updated 1 days ago.
7.5 match 60 stars 7.97 score 26 scripts
eheinzen
elo:Ranking Teams by Elo Rating and Comparable Methods
A flexible framework for calculating Elo ratings and resulting rankings of any two-team-per-matchup system (chess, sports leagues, 'Go', etc.). This implementation is capable of evaluating a variety of matchups, Elo rating updates, and win probabilities, all based on the basic Elo rating system. It also includes methods to benchmark performance, including logistic regression and Markov chain models.
Maintained by Ethan Heinzen. Last updated 1 years ago.
eloelo-ratinglogistic-regressionmarkov-chainmarkov-modelrankingsports-analyticscpp
8.0 match 37 stars 7.05 score 153 scriptsnflverse
nflplotR:NFL Logo Plots in 'ggplot2' and 'gt'
A set of functions to visualize National Football League analysis in 'ggplot2' plots and 'gt' tables.
Maintained by Sebastian Carl. Last updated 4 days ago.
nflnflfastrnflstatsnflversesports-analyticssportsanalytics
7.5 match 19 stars 7.21 score 316 scripts 1 dependentsjaseziv
nblR:Data Extraction of Australian NBL Basketball Statistics
Allow users to obtain basketball statistics for the Australian basketball league 'NBL'<https://nbl.com.au/>. Stats include play-by-play, shooting locations, results and box scores for teams and players.
Maintained by Jason Zivkovic. Last updated 4 months ago.
basketball-statssports-analyticssports-stats
15.0 match 8 stars 3.60 score 9 scripts
billpetti
baseballr:Acquiring and Analyzing Baseball Data
Provides numerous utilities for acquiring and analyzing baseball data from online sources such as 'Baseball Reference' <https://www.baseball-reference.com/>, 'FanGraphs' <https://www.fangraphs.com/>, and the 'MLB Stats' API <https://www.mlb.com/>.
Maintained by Saiem Gilani. Last updated 4 months ago.
baseballpitchfxsabermetricsstatcast
5.9 match 380 stars 8.98 score 582 scripts
geobosh
Countr:Flexible Univariate Count Models Based on Renewal Processes
Flexible univariate count models based on renewal processes. The models may include covariates and can be specified with familiar formula syntax as in glm() and package 'flexsurv'. The methodology is described by Kharrat et all (2019) <doi:10.18637/jss.v090.i13> (included as vignette 'Countr_guide' in the package). If the suggested package 'pscl' is not available from CRAN, it can be installed with 'remotes::install_github("cran/pscl")'. It is no longer used by the functions in this package but is needed for some of the extended examples.
Maintained by Georgi N. Boshnakov. Last updated 1 years ago.
count-datarenewal-processsports-modellingopenblascpp
7.5 match 4 stars 5.71 score 43 scripts
andyliaw-mrk
locfit:Local Regression, Likelihood and Density Estimation
Local regression, likelihood and density estimation methods as described in the 1999 book by Loader.
Maintained by Andy Liaw. Last updated 23 days ago.
3.8 match 1 stars 9.40 score 428 scripts 606 dependents
wviechtb
metadat:Meta-Analysis Datasets
A collection of meta-analysis datasets for teaching purposes, illustrating/testing meta-analytic methods, and validating published analyses.
Maintained by Wolfgang Viechtbauer. Last updated 14 days ago.
3.3 match 30 stars 10.54 score 65 scripts 93 dependents
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-visualizationshinysports-appweb-appweb-development
7.5 match 32 stars 4.68 score 2 scripts
cran
vcd:Visualizing Categorical Data
Visualization techniques, data sets, summary and inference procedures aimed particularly at categorical data. Special emphasis is given to highly extensible grid graphics. The package was package was originally inspired by the book "Visualizing Categorical Data" by Michael Friendly and is now the main support package for a new book, "Discrete Data Analysis with R" by Michael Friendly and David Meyer (2015).
Maintained by David Meyer. Last updated 6 months ago.
4.0 match 5 stars 8.19 score 87 dependentsopenvolley
peranavolley:Perana Sports Volleyball Files
Basic functions for reading and working with Perana Sports volleyball scouting files.
Maintained by Ben Raymond. Last updated 10 months ago.
10.6 match 2.95 score 1 scripts 6 dependentscran
sn:The Skew-Normal and Related Distributions Such as the Skew-t and the SUN
Build and manipulate probability distributions of the skew-normal family and some related ones, notably the skew-t and the SUN families. For the skew-normal and the skew-t distributions, statistical methods are provided for data fitting and model diagnostics, in the univariate and the multivariate case.
Maintained by Adelchi Azzalini. Last updated 2 years ago.
3.8 match 3 stars 7.44 score 92 dependents
r-forge
SkewHyperbolic:The Skew Hyperbolic Student t-Distribution
Functions are provided for the density function, distribution function, quantiles and random number generation for the skew hyperbolic t-distribution. There are also functions that fit the distribution to data. There are functions for the mean, variance, skewness, kurtosis and mode of a given distribution and to calculate moments of any order about any centre. To assess goodness of fit, there are functions to generate a Q-Q plot, a P-P plot and a tail plot.
Maintained by David Scott. Last updated 9 days ago.
3.8 match 1 stars 7.35 score 15 scripts 20 dependents
cdcrabtree
colorr:Color Palettes for EPL, MLB, NBA, NHL, and NFL Teams
Color palettes for EPL, MLB, NBA, NHL, and NFL teams.
Maintained by Charles Crabtree. Last updated 7 years ago.
color-palettecolorssportsvisualization
10.0 match 1 stars 2.70 score 9 scripts
aymennasri
ggfootball:Plotting Football Matches Expected Goals (xG) Stats with 'Understat' Data
Scrapes football match shots data from 'Understat' <https://understat.com/> and visualizes it using interactive plots: - A detailed shot map displaying the location, type, and xG value of shots taken by both teams. - An xG timeline chart showing the cumulative xG for each team over time, annotated with the details of scored goals.
Maintained by Aymen Nasri. Last updated 5 days ago.
footballfootball-analyticsfootball-datafootball-scoressoccersoccer-analyticssoccer-datasports-dataunderstat
7.5 match 1 stars 3.54 score 10 scripts
rivasiker
ggHoriPlot:Horizon Plots for 'ggplot2'
A user-friendly, highly customizable R package for building horizon plots in the 'ggplot2' environment.
Maintained by Iker Rivas-González. Last updated 9 months ago.
data-sciencedata-visualizationggplot2horizon-plots
3.6 match 144 stars 6.96 score 63 scripts
firefly-cpp
tcxr:Parse and Analyze TCX Files
Framework provides functions to parse 'Training Center XML (TCX)' files and extract key activity metrics such as total distance, total time, calories burned, maximum altitude, and power values (watts). This package is useful for analyzing workout and training data from devices that export 'TCX' format.
Maintained by Iztok Jr. Fister. Last updated 16 days ago.
data-sciencegarmin-connectsport-analyticstcx-parser
7.5 match 3.30 score
keefe-murphy
MoEClust:Gaussian Parsimonious Clustering Models with Covariates and a Noise Component
Clustering via parsimonious Gaussian Mixtures of Experts using the MoEClust models introduced by Murphy and Murphy (2020) <doi:10.1007/s11634-019-00373-8>. This package fits finite Gaussian mixture models with a formula interface for supplying gating and/or expert network covariates using a range of parsimonious covariance parameterisations from the GPCM family via the EM/CEM algorithm. Visualisation of the results of such models using generalised pairs plots and the inclusion of an additional noise component is also facilitated. A greedy forward stepwise search algorithm is provided for identifying the optimal model in terms of the number of components, the GPCM covariance parameterisation, and the subsets of gating/expert network covariates.
Maintained by Keefe Murphy. Last updated 23 days ago.
gaussian-mixture-modelsmixture-of-expertsmodel-based-clustering
3.8 match 7 stars 6.51 score 44 scripts 1 dependents
njbultman
sleeperapi:Wrapper Functions Around 'Sleeper' (Fantasy Sports) API
For those wishing to interact with the 'Sleeper' (Fantasy Sports) API (<https://docs.sleeper.com/>) without looking too much into its documentation (found at <https://docs.sleeper.com/>), this package offers wrapper functions around the available API calls to make it easier.
Maintained by Nick Bultman. Last updated 4 months ago.
5.4 match 6 stars 4.48 score 8 scriptstrackerproject
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.
3.8 match 90 stars 6.37 score 58 scripts 1 dependents
zmeers
flourishcharts:'Flourish' for 'R' and 'Python'
Interactive data visualization for data practitioners. 'flourishcharts' allows users to visualize their data using 'Flourish' graphs that are grounded in data storytelling principles. Users can create racing bar & line charts, as well as other interactive elements commonly found in 'D3' graphics, easily in 'R' and 'Python'. The package relies on an enterprise API provided by 'Flourish', a data visualization platform <https://developers.flourish.studio/api/introduction/>.
Maintained by Zoe Meers. Last updated 5 months ago.
7.5 match 3.00 score 5 scriptsr-forge
Sleuth3:Data Sets from Ramsey and Schafer's "Statistical Sleuth (3rd Ed)"
Data sets from Ramsey, F.L. and Schafer, D.W. (2013), "The Statistical Sleuth: A Course in Methods of Data Analysis (3rd ed)", Cengage Learning.
Maintained by Berwin A Turlach. Last updated 1 years ago.
3.4 match 6.29 score 522 scripts
modal-inria
Rankcluster:Model-Based Clustering for Multivariate Partial Ranking Data
Implementation of a model-based clustering algorithm for ranking data (C. Biernacki, J. Jacques (2013) <doi:10.1016/j.csda.2012.08.008>). Multivariate rankings as well as partial rankings are taken into account. This algorithm is based on an extension of the Insertion Sorting Rank (ISR) model for ranking data, which is a meaningful and effective model parametrized by a position parameter (the modal ranking, quoted by mu) and a dispersion parameter (quoted by pi). The heterogeneity of the rank population is modelled by a mixture of ISR, whereas conditional independence assumption is considered for multivariate rankings.
Maintained by Quentin Grimonprez. Last updated 2 years ago.
clusteringhacktoberfestrankcpp
4.0 match 1 stars 5.05 score 37 scripts 1 dependentsr-forge
Sleuth2:Data Sets from Ramsey and Schafer's "Statistical Sleuth (2nd Ed)"
Data sets from Ramsey, F.L. and Schafer, D.W. (2002), "The Statistical Sleuth: A Course in Methods of Data Analysis (2nd ed)", Duxbury.
Maintained by Berwin A Turlach. Last updated 1 years ago.
3.4 match 5.79 score 191 scripts
coatless-rpkg
msos:Data Sets and Functions Used in Multivariate Statistics: Old School by John Marden
Multivariate Analysis methods and data sets used in John Marden's book Multivariate Statistics: Old School (2015) <ISBN:978-1456538835>. This also serves as a companion package for the STAT 571: Multivariate Analysis course offered by the Department of Statistics at the University of Illinois at Urbana-Champaign ('UIUC').
Maintained by James Balamuta. Last updated 1 years ago.
4.5 match 3 stars 4.16 score 32 scripts 1 dependents
sanfordweisberg
dr:Methods for Dimension Reduction for Regression
Functions, methods, and datasets for fitting dimension reduction regression, using slicing (methods SAVE and SIR), Principal Hessian Directions (phd, using residuals and the response), and an iterative IRE. Partial methods, that condition on categorical predictors are also available. A variety of tests, and stepwise deletion of predictors, is also included. Also included is code for computing permutation tests of dimension. Adding additional methods of estimating dimension is straightforward. For documentation, see the vignette in the package. With version 3.0.4, the arguments for dr.step have been modified.
Maintained by Sanford Weisberg. Last updated 10 years ago.
3.8 match 4.92 score 122 scripts 10 dependents
ffverse
ffpros:Retrieves Data from FantasyPros
Helps gather data from FantasyPros.com with rate-limiting/caching, forming appropriate calls, and returning tidy dataframes which can be easily connected to other data sources.
Maintained by Tan Ho. Last updated 10 months ago.
4.2 match 9 stars 4.30 score 22 scripts
lbenitesanchez
ALDqr:Quantile Regression Using Asymmetric Laplace Distribution
EM algorithm for estimation of parameters and other methods in a quantile regression.
Maintained by Luis Benites Sanchez. Last updated 8 years ago.
3.8 match 9 stars 4.33 score 16 scripts 1 dependents
tunsmart
interactionR:Full Reporting of Interaction Analyses
Produces a publication-ready table that includes all effect estimates necessary for full reporting effect modification and interaction analysis as recommended by Knol and Vanderweele (2012) [<doi:10.1093/ije/dyr218>]. It also estimates confidence interval for the trio of additive interaction measures using the delta method (see Hosmer and Lemeshow (1992), [<doi:10.1097/00001648-199209000-00012>]), variance recovery method (see Zou (2008), [<doi:10.1093/aje/kwn104>]), or percentile bootstrapping (see Assmann et al. (1996), [<doi:10.1097/00001648-199605000-00012>]).
Maintained by Babatunde Alli. Last updated 1 years ago.
3.2 match 21 stars 4.95 score 84 scripts
ekstroem
socceR:Evaluating Sport Tournament Predictions
Functions for evaluating tournament predictions, simulating results from individual soccer matches and tournaments. See <http://sandsynligvis.dk/2018/08/03/world-cup-prediction-winners/> for more information.
Maintained by Claus Thorn Ekstrøm. Last updated 6 years ago.
5.0 match 3 stars 3.18 score
larsvancutsem
piratings:Calculate Pi Ratings for Teams Competing in Sport Matches
Calculate and optimize dynamic performance ratings of association football teams competing in matches, in accordance with the method used in the research paper "Determining the level of ability of football teams by dynamic ratings based on the relative discrepancies in scores between adversaries", by dr. Constantinou and dr. Fenton. This dynamic rating system has proven to provide superior results for predicting association football outcomes. The research paper can be found here: (<http://www.constantinou.info/downloads/papers/pi-ratings.pdf>).
Maintained by Lars Van Cutsem. Last updated 6 years ago.
2.9 match 13 stars 5.29 score 9 scriptsopenvolley
vscoututils:Utility Functions for Volleyball Scout Files
Common utility functions shared across various volleyball scouting and data access packages. Functions in this package are likely to be mostly of interest to package developers, rather than end users.
Maintained by Ben Raymond. Last updated 3 months ago.
3.5 match 3.95 score 1 scripts 12 dependents
rtelmore
ISAR:Introduction to Sports Analytics using R (ISAR) Data
We provide data sets used in the forthcoming textbook "Introduction to Sports Analytics using R" by Elmore and Urbaczweski (2024). The package currently contains sixteen datasets and should be published in early 2024.
Maintained by Ryan Elmore. Last updated 8 months ago.
3.4 match 7 stars 4.02 score 3 scriptslbenitesanchez
ssmn:Skew Scale Mixtures of Normal Distributions
Performs the EM algorithm for regression models using Skew Scale Mixtures of Normal Distributions.
Maintained by Luis Benites Sanchez. Last updated 8 years ago.
3.8 match 2 stars 3.48 score 4 scripts 1 dependentssanfordweisberg
alr4:Data to Accompany Applied Linear Regression 4th Edition
Datasets to Accompany S. Weisberg (2014, ISBN: 978-1-118-38608-8), "Applied Linear Regression," 4th edition. Many data files in this package are included in the `alr3` package as well, so only one of them should be used.
Maintained by Sanford Weisberg. Last updated 7 years ago.
3.8 match 1 stars 3.45 score 306 scripts
laperez
Clustering:Techniques for Evaluating Clustering
The design of this package allows us to run different clustering packages and compare the results between them, to determine which algorithm behaves best from the data provided. See Martos, L.A.P., García-Vico, Á.M., González, P. et al.(2023) <doi:10.1007/s13748-022-00294-2> "Clustering: an R library to facilitate the analysis and comparison of cluster algorithms.", Martos, L.A.P., García-Vico, Á.M., González, P. et al. "A Multiclustering Evolutionary Hyperrectangle-Based Algorithm" <doi:10.1007/s44196-023-00341-3> and L.A.P., García-Vico, Á.M., González, P. et al. "An Evolutionary Fuzzy System for Multiclustering in Data Streaming" <doi:10.1016/j.procs.2023.12.058>.
Maintained by Luis Alfonso Perez Martos. Last updated 11 months ago.
3.1 match 5 stars 4.00 score 7 scripts
mvogel78
childsds:Data and Methods Around Reference Values in Pediatrics
Calculation of standard deviation scores and percentiles adduced from different standards (WHO, UK, Germany, Italy, China, etc). Also, references for laboratory values in children and adults are available, e.g., serum lipids, iron-related blood parameters, IGF, liver enzymes. See package documentation for full list.
Maintained by Mandy Vogel. Last updated 2 days ago.
3.5 match 3.49 score 51 scripts
sujit-sahu
ipsRdbs:Introduction to Probability, Statistics and R for Data-Based Sciences
Contains data sets, programmes and illustrations discussed in the book, "Introduction to Probability, Statistics and R: Foundations for Data-Based Sciences." Sahu (2024, isbn:9783031378645) describes the methods in detail.
Maintained by Sujit K. Sahu. Last updated 12 months ago.
3.3 match 1 stars 3.70 score 2 scriptslbenitesanchez
FMsmsnReg:Regression Models with Finite Mixtures of Skew Heavy-Tailed Errors
Fit linear regression models where the random errors follow a finite mixture of of Skew Heavy-Tailed Errors.
Maintained by Luis Benites Sanchez. Last updated 8 years ago.
3.8 match 3 stars 3.18 score 9 scriptscran
tmcn:A Text Mining Toolkit for Chinese
A Text mining toolkit for Chinese, which includes facilities for Chinese string processing, Chinese NLP supporting, encoding detecting and converting. Moreover, it provides some functions to support 'tm' package in Chinese.
Maintained by Jian Li. Last updated 6 years ago.
4.5 match 1 stars 2.38 score 5 dependents
peterkdunn
GLMsData:Generalized Linear Model Data Sets
Data sets from the book Generalized Linear Models with Examples in R by Dunn and Smyth.
Maintained by Peter K. Dunn. Last updated 3 years ago.
3.6 match 2.61 score 220 scripts
joe-chelladurai
play:Visualize Sports Data
Provides functions to visualise sports data. Converts data into a format suitable for plotting charts. Helps to ease the process of working with messy sports data to a more user friendly format. Football data is accessed through 'worldfootballR' '<https://github.com/JaseZiv/worldfootballR>' which gets data from 'FBref' <https://fbref.com/en>, 'Transfermarkt' <https://www.transfermarkt.com/>, 'Understat' <https://understat.com/>, and 'fotmob' <https://www.fotmob.com/>.
Maintained by Joe Chelladurai. Last updated 2 years ago.
4.1 match 2.00 score 1 scriptscran
npbr:Nonparametric Boundary Regression
A variety of functions for the best known and most innovative approaches to nonparametric boundary estimation. The selected methods are concerned with empirical, smoothed, unrestricted as well as constrained fits under both separate and multiple shape constraints. They cover robust approaches to outliers as well as data envelopment techniques based on piecewise polynomials, splines, local linear fitting, extreme values and kernel smoothing. The package also seamlessly allows for Monte Carlo comparisons among these different estimation methods. Its use is illustrated via a number of empirical applications and simulated examples.
Maintained by Thibault Laurent. Last updated 2 years ago.
4.0 match 1 stars 2.00 score
framverse
framrsquared:FRAM Database Interface
A convenient tool for interfacing with FRAM access databases in R environments.
Maintained by Ty Garber. Last updated 3 months ago.
1.6 match 6 stars 5.06 score 9 scripts
cmollica
MSmix:Finite Mixtures of Mallows Models with Spearman Distance for Full and Partial Rankings
Fit and analysis of finite Mixtures of Mallows models with Spearman Distance for full and partial rankings with arbitrary missing positions. Inference is conducted within the maximum likelihood framework via Expectation-Maximization algorithms. Estimation uncertainty is tackled via diverse versions of bootstrapped and asymptotic confidence intervals. The most relevant reference of the methods is Crispino, Mollica, Astuti and Tardella (2023) <doi:10.1007/s11222-023-10266-8>.
Maintained by Cristina Mollica. Last updated 3 days ago.
3.6 match 2.18 score
chedgala
lqr:Robust Linear Quantile Regression
It fits a robust linear quantile regression model using a new family of zero-quantile distributions for the error term. Missing values and censored observations can be handled as well. This family of distribution includes skewed versions of the Normal, Student's t, Laplace, Slash and Contaminated Normal distribution. It also performs logistic quantile regression for bounded responses as shown in Galarza et.al.(2020) <doi:10.1007/s13571-020-00231-0>. It provides estimates and full inference. It also provides envelopes plots for assessing the fit and confidences bands when several quantiles are provided simultaneously.
Maintained by Christian E. Galarza. Last updated 9 months ago.
3.8 match 1 stars 2.08 score 9 scripts 2 dependents
xzhu20
ManlyMix:Manly Mixture Modeling and Model-Based Clustering
The utility of this package includes finite mixture modeling and model-based clustering through Manly mixture models by Zhu and Melnykov (2016) <DOI:10.1016/j.csda.2016.01.015>. It also provides capabilities for forward and backward model selection procedures.
Maintained by Xuwen Zhu. Last updated 6 months ago.
3.8 match 1.65 score 15 scripts 1 dependents
akarl46556
mvglmmRank:Multivariate Generalized Linear Mixed Models for Ranking Sports Teams
Maximum likelihood estimates are obtained via an EM algorithm with either a first-order or a fully exponential Laplace approximation as documented by Broatch and Karl (2018) <doi:10.48550/arXiv.1710.05284>, Karl, Yang, and Lohr (2014) <doi:10.1016/j.csda.2013.11.019>, and by Karl (2012) <doi:10.1515/1559-0410.1471>. Karl and Zimmerman <doi:10.1016/j.jspi.2020.06.004> use this package to illustrate how the home field effect estimator from a mixed model can be biased under nonrandom scheduling.
Maintained by Andrew T. Karl. Last updated 2 years ago.
4.5 match 2 stars 1.34 score 11 scripts
jorgecastillomateo
RecordTest:Inference Tools in Time Series Based on Record Statistics
Statistical tools based on the probabilistic properties of the record occurrence in a sequence of independent and identically distributed continuous random variables. In particular, tools to prepare a time series as well as distribution-free trend and change-point tests and graphical tools to study the record occurrence. Details about the implemented tools can be found in Castillo-Mateo et al. (2023a) <doi:10.18637/jss.v106.i05> and Castillo-Mateo et al. (2023b) <doi:10.1016/j.atmosres.2023.106934>.
Maintained by Jorge Castillo-Mateo. Last updated 2 years ago.
hypothesis-testingrecord-breaking
1.5 match 1 stars 3.70 score 3 scripts
barnzilla
capl:Compute and Visualize CAPL-2 Scores and Interpretations
A toolkit for computing and visualizing CAPL-2 (Canadian Assessment of Physical Literacy, Second Edition; <https://www.capl-eclp.ca>) scores and interpretations from raw data.
Maintained by Joel Barnes. Last updated 3 years ago.
1.3 match 2 stars 4.00 score 2 scripts
ruben-hernan
CatDyn:Fishery Stock Assessment by Catch Dynamics Models
Based on fishery Catch Dynamics instead of fish Population Dynamics (hence CatDyn) and using high-frequency or medium-frequency catch in biomass or numbers, fishing nominal effort, and mean fish body weight by time step, from one or two fishing fleets, estimate stock abundance, natural mortality rate, and fishing operational parameters. It includes methods for data organization, plotting standard exploratory and analytical plots, predictions, for 100 types of models of increasing complexity, and 72 likelihood models for the data.
Maintained by Ruben H. Roa-Ureta. Last updated 6 years ago.
3.6 match 1 stars 1.45 score 28 scripts
amalpanwar
PlayerChart:Generate Pizza Chart: Player Stats 0-100
Create an interactive pizza chart visualizing a specific player's statistics across various attributes in a sports dataset. The chart is constructed based on input parameters: 'data', a dataframe containing player data for any sports; 'player_stats_col', a vector specifying the names of the columns from the dataframe that will be used to create slices in the pizza chart, with statistics ranging between 0 and 100; 'name_col', specifying the name of the column in the dataframe that contains the player names; and 'player_name', representing the specific player whose statistics will be visualized in the chart, serving as the chart title.
Maintained by Amal Panwar. Last updated 10 months ago.
2.6 match 1.70 score
torvaney
ggsoccer:Plot Soccer Event Data
The 'ggplot2' package provides a powerful set of tools for visualising and investigating data. The 'ggsoccer' package provides a set of functions for elegantly displaying and exploring soccer event data with 'ggplot2'. Providing extensible layers and themes, it is designed to work smoothly with a variety of popular sports data providers.
Maintained by Ben Torvaney. Last updated 6 months ago.
event-datafootballggplot2plotsoccer
0.5 match 184 stars 7.63 score 128 scripts 1 dependentscran
cmbClust:Conditional Mixture Modeling and Model-Based Clustering
Conditional mixture model fitted via EM (Expectation Maximization) algorithm for model-based clustering, including parsimonious procedure, optimal conditional order exploration, and visualization.
Maintained by Yang Wang. Last updated 2 years ago.
3.8 match 1.00 score
viroli
quantileDA:Quantile Classifier
Code for centroid, median and quantile classifiers.
Maintained by Cinzia Viroli. Last updated 1 years ago.
3.8 match 1.00 score 10 scriptscran
SenTinMixt:Parsimonious Mixtures of MSEN and MTIN Distributions
Implements parsimonious mixtures of MSEN and MTIN distributions via expectation- maximization based algorithms for model-based clustering. For each mixture component, parsimony is reached via the eigen-decomposition of the scale matrices and by imposing a constraint on the tailedness parameter. This produces a family of 28 parsimonious mixture models for each distribution.
Maintained by Salvatore D. Tomarchio. Last updated 3 years ago.
3.8 match 1.00 score
marcoblume
odds.converter:Betting Odds Conversion
Conversion between the most common odds types for sports betting. Hong Kong odds, US odds, Decimal odds, Indonesian odds, Malaysian odds, and raw Probability are covered in this package.
Maintained by Marco Blume. Last updated 7 years ago.
0.5 match 13 stars 4.48 score 46 scripts
imranshakoor
DataSetsUni:A Collection of Univariate Data Sets
A collection of widely used univariate data sets of various applied domains on applications of distribution theory. The functions allow researchers and practitioners to quickly, easily, and efficiently access and use these data sets. The data are related to different applied domains and as follows: Bio-medical, survival analysis, medicine, reliability analysis, hydrology, actuarial science, operational research, meteorology, extreme values, quality control, engineering, finance, sports and economics. The total 100 data sets are documented along with associated references for further details and uses.
Maintained by Muhammad Imran. Last updated 2 years ago.
2.1 match 1.00 score 1 scriptsmarcoblume
pinnacle.data:Market Odds Data from Pinnacle
Market odds from from Pinnacle, an online sports betting bookmaker (see <https://www.pinnacle.com> for more information). Included are datasets for the Major League Baseball (MLB) 2016 season and the USA election 2016. These datasets can be used to build models and compare statistical information with the information from prediction markets.The Major League Baseball (MLB) 2016 dataset can be used for sabermetrics analysis and also can be used in conjunction with other popular Major League Baseball (MLB) datasets such as Retrosheets or the Lahman package by merging by GameID.
Maintained by Marco Blume. Last updated 8 years ago.
0.5 match 12 stars 3.78 score 7 scripts
fmmattioni
metabolic:Datasets and Functions for Reproducing Meta-Analyses
Dataset and functions from the meta-analysis published in Medicine & Science in Sports & Exercise. It contains all the data and functions to reproduce the analysis. "Effectiveness of HIIE versus MICT in Improving Cardiometabolic Risk Factors in Health and Disease: A Meta-analysis". Felipe Mattioni Maturana, Peter Martus, Stephan Zipfel, Andreas M Nieß (2020) <doi:10.1249/MSS.0000000000002506>.
Maintained by Felipe Mattioni Maturana. Last updated 1 years ago.
0.5 match 8 stars 3.60 score 8 scriptsframverse
pssp:Package to interface with the WDFW Puget Sound sampling database
The pssp package serves as an interface between R and the Puget Sound sampling database. It"s goal is to ease the burden of retrieving and analyzing sport creel information in Puget Sound.
Maintained by Ty Garber. Last updated 4 months ago.
0.5 match 2.40 scorecran
bivpois:Bivariate Poisson Distribution
Maximum likelihood estimation, random values generation, density computation and other functions for the bivariate Poisson distribution. References include: Kawamura K. (1984). "Direct calculation of maximum likelihood estimator for the bivariate Poisson distribution". Kodai Mathematical Journal, 7(2): 211--221. <doi:10.2996/kmj/1138036908>. Kocherlakota S. and Kocherlakota K. (1992). "Bivariate discrete distributions". CRC Press. <doi:10.1201/9781315138480>. Karlis D. and Ntzoufras I. (2003). "Analysis of sports data by using bivariate Poisson models". Journal of the Royal Statistical Society: Series D (The Statistician), 52(3): 381--393. <doi:10.1111/1467-9884.00366>.
Maintained by Michail Tsagris. Last updated 3 months ago.
0.5 match 4 stars 2.08 score 1 dependents
mubarakfadhlul
PODES:Village Potential Statistics of Indonesia
Village potential statistics (PODES) collects various information on village potential and challenges faced by villages in Indonesia. Information related to village potential includes economy, security, health, employment, communication and information, sports, entertainment, development, community empowerment, education, socio-culture, transportation in the village. Information related to challenges includes natural disasters, public health, environmental pollution, social problems and security disturbances that occur in the village.
Maintained by Fadhlul Mubarak. Last updated 5 months ago.
0.5 match 1.00 score