Showing 57 of total 57 results (show query)
lindbrook
cholera:Amend, Augment and Aid Analysis of John Snow's Cholera Map
Amends errors, augments data and aids analysis of John Snow's map of the 1854 London cholera outbreak.
Maintained by lindbrook. Last updated 1 days ago.
choleradata-visualizationdatasetsepidemiologyjohn-snowpublic-healthtriangulation-delaunayvoronoivoronoi-polygons
22.1 match 136 stars 9.33 score 95 scripts
epiverse-trace
cfr:Estimate Disease Severity and Case Ascertainment
Estimate the severity of a disease and ascertainment of cases, as discussed in Nishiura et al. (2009) <doi:10.1371/journal.pone.0006852>.
Maintained by Adam Kucharski. Last updated 17 days ago.
case-fatality-rateepidemic-modellingepidemiologyepiversehealth-outcomesoutbreak-analysissdg-3
9.6 match 13 stars 8.15 score 35 scripts
r-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.
10.5 match 6.38 score 522 scriptsepiverse-trace
simulist:Simulate Disease Outbreak Line List and Contacts Data
Tools to simulate realistic raw case data for an epidemic in the form of line lists and contacts using a branching process. Simulated outbreaks are parameterised with epidemiological parameters and can have age-structured populations, age-stratified hospitalisation and death risk and time-varying case fatality risk.
Maintained by Joshua W. Lambert. Last updated 4 days ago.
epidemiologyepiverselinelistoutbreaks
8.3 match 9 stars 7.86 score 27 scriptsr-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.
10.5 match 5.70 score 191 scripts
daroczig
logger:A Lightweight, Modern and Flexible Logging Utility
Inspired by the the 'futile.logger' R package and 'logging' Python module, this utility provides a flexible and extensible way of formatting and delivering log messages with low overhead.
Maintained by Gergely Daróczi. Last updated 2 months ago.
3.3 match 298 stars 16.88 score 1.5k scripts 98 dependents
s87jackson
rfars:Download and Analyze Crash Data
Download crash data from the National Highway Traffic Safety Administration and prepare it for research.
Maintained by Steve Jackson. Last updated 12 months ago.
crashfatalitiesofficial-statisticstransportation
10.0 match 10 stars 5.35 score 15 scripts
pharmaverse
sdtmchecks:Data Quality Checks for Study Data Tabulation Model (SDTM) Datasets
A series of checks to identify common issues in Study Data Tabulation Model (SDTM) datasets. These checks are intended to be generalizable, actionable, and meaningful for analysis.
Maintained by Will Harris. Last updated 3 months ago.
6.8 match 21 stars 7.66 score 15 scripts
cran
futile.logger:A Logging Utility for R
Provides a simple yet powerful logging utility. Based loosely on log4j, futile.logger takes advantage of R idioms to make logging a convenient and easy to use replacement for cat and print statements.
Maintained by Brian Lee Yung Rowe. Last updated 9 years ago.
5.6 match 9.32 score 1.7k scripts 1.2k dependents
jhmaindonald
gamclass:Functions and Data for a Course on Modern Regression and Classification
Functions and data are provided that support a course that emphasizes statistical issues of inference and generalizability. The functions are designed to make it straightforward to illustrate the use of cross-validation, the training/test approach, simulation, and model-based estimates of accuracy. Methods considered are Generalized Additive Modeling, Linear and Quadratic Discriminant Analysis, Tree-based methods, and Random Forests.
Maintained by John Maindonald. Last updated 2 years ago.
9.7 match 4.82 score 44 scripts
njtierney
ozroaddeaths:Pulls Data From Australian Road Deaths Database
ozroaddeaths is a package that pulls data from the Australian Road Deaths Database, run by the Bureau of Infrastructure, Transport and Regional Economics (BITRE). This provides basic details of road transport crash fatalities in Australia as reported by the police each month to the State and Territory road safety authorities. The details provided in the database fall into two groups: 1) the circumstances of the crash, for example, date, location, crash type some details regarding the persons killed, for example, age, gender and road user group.
Maintained by Nicholas Tierney. Last updated 5 months ago.
9.4 match 6 stars 4.62 score 7 scripts
mazamascience
MazamaCoreUtils:Utility Functions for Production R Code
A suite of utility functions providing functionality commonly needed for production level projects such as logging, error handling, cache management and date-time parsing. Functions for date-time parsing and formatting require that time zones be specified explicitly, avoiding a common source of error when working with environmental time series.
Maintained by Jonathan Callahan. Last updated 3 months ago.
5.6 match 4 stars 7.76 score 119 scripts 5 dependents
nickreich
coarseDataTools:Analysis of Coarsely Observed Data
Functions to analyze coarse data. Specifically, it contains functions to (1) fit parametric accelerated failure time models to interval-censored survival time data, and (2) estimate the case-fatality ratio in scenarios with under-reporting. This package's development was motivated by applications to infectious disease: in particular, problems with estimating the incubation period and the case fatality ratio of a given disease. Sample data files are included in the package. See Reich et al. (2009) <doi:10.1002/sim.3659>, Reich et al. (2012) <doi:10.1111/j.1541-0420.2011.01709.x>, and Lessler et al. (2009) <doi:10.1016/S1473-3099(09)70069-6>.
Maintained by Nicholas G. Reich. Last updated 2 years ago.
5.2 match 9 stars 8.07 score 37 scripts 8 dependents
svmiller
stevedata:Steve's Toy Data for Teaching About a Variety of Methodological, Social, and Political Topics
This is a collection of various kinds of data with broad uses for teaching. My students, and academics like me who teach the same topics I teach, should find this useful if their teaching workflow is also built around the R programming language. The applications are multiple but mostly cluster on topics of statistical methodology, international relations, and political economy.
Maintained by Steve Miller. Last updated 4 days ago.
6.9 match 8 stars 5.97 score 178 scripts
ddalthorp
GenEst:Generalized Mortality Estimator
Command-line and 'shiny' GUI implementation of the GenEst models for estimating bird and bat mortality at wind and solar power facilities, following Dalthorp, et al. (2018) <doi:10.3133/tm7A2>.
Maintained by Daniel Dalthorp. Last updated 2 years ago.
5.2 match 7 stars 7.81 score 55 scripts 2 dependents
r-lib
log4r:A Fast and Lightweight Logging System for R, Based on 'log4j'
The log4r package is meant to provide a fast, lightweight, object-oriented approach to logging in R based on the widely-emulated 'log4j' system and etymology.
Maintained by Aaron Jacobs. Last updated 5 months ago.
3.3 match 95 stars 10.89 score 217 scripts 15 dependents
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.
3.6 match 7 stars 9.11 score 1.3k scripts 6 dependents
mapme-initiative
mapme.biodiversity:Efficient Monitoring of Global Biodiversity Portfolios
Biodiversity areas, especially primary forest, serve a multitude of functions for local economy, regional functionality of the ecosystems as well as the global health of our planet. Recently, adverse changes in human land use practices and climatic responses to increased greenhouse gas emissions, put these biodiversity areas under a variety of different threats. The present package helps to analyse a number of biodiversity indicators based on freely available geographical datasets. It supports computational efficient routines that allow the analysis of potentially global biodiversity portfolios. The primary use case of the package is to support evidence based reporting of an organization's effort to protect biodiversity areas under threat and to identify regions were intervention is most duly needed.
Maintained by Darius A. Görgen. Last updated 3 months ago.
environmenteogismapmespatialsustainability
3.5 match 35 stars 9.24 score 287 scripts
wjbraun
DAAG:Data Analysis and Graphics Data and Functions
Functions and data sets used in examples and exercises in the text Maindonald, J.H. and Braun, W.J. (2003, 2007, 2010) "Data Analysis and Graphics Using R", and in an upcoming Maindonald, Braun, and Andrews text that builds on this earlier text.
Maintained by W. John Braun. Last updated 11 months ago.
3.8 match 8.25 score 1.2k scripts 1 dependents
ohdsi
ParallelLogger:Support for Parallel Computation, Logging, and Function Automation
Support for parallel computation with progress bar, and option to stop or proceed on errors. Also provides logging to console and disk, and the logging persists in the parallel threads. Additional functions support function call automation with delayed execution (e.g. for executing functions in parallel).
Maintained by Martijn Schuemie. Last updated 6 months ago.
3.1 match 12 stars 9.18 score 87 scripts 11 dependents
bayesiandemography
bage:Bayesian Estimation and Forecasting of Age-Specific Rates
Fast Bayesian estimation and forecasting of age-specific rates, probabilities, and means, based on 'Template Model Builder'.
Maintained by John Bryant. Last updated 2 months ago.
3.8 match 3 stars 7.30 score 39 scripts
openintrostat
usdata:Data on the States and Counties of the United States
Demographic data on the United States at the county and state levels spanning multiple years.
Maintained by Mine Çetinkaya-Rundel. Last updated 10 months ago.
3.8 match 9 stars 6.89 score 294 scripts 1 dependents
schochastics
networkdata:Repository of Network Datasets
The package contains a large collection of network dataset with different context. This includes social networks, animal networks and movie networks. All datasets are in 'igraph' format.
Maintained by David Schoch. Last updated 12 months ago.
4.5 match 143 stars 5.01 score 143 scripts
freezenik
bamlss:Bayesian Additive Models for Location, Scale, and Shape (and Beyond)
Infrastructure for estimating probabilistic distributional regression models in a Bayesian framework. The distribution parameters may capture location, scale, shape, etc. and every parameter may depend on complex additive terms (fixed, random, smooth, spatial, etc.) similar to a generalized additive model. The conceptual and computational framework is introduced in Umlauf, Klein, Zeileis (2019) <doi:10.1080/10618600.2017.1407325> and the R package in Umlauf, Klein, Simon, Zeileis (2021) <doi:10.18637/jss.v100.i04>.
Maintained by Nikolaus Umlauf. Last updated 5 months ago.
3.8 match 1 stars 5.76 score 239 scripts 5 dependents
fraenzi
carcass:Estimation of the Number of Fatalities from Carcass Searches
The number of bird or bat fatalities from collisions with buildings, towers or wind energy turbines can be estimated based on carcass searches and experimentally assessed carcass persistence times and searcher efficiency. Functions for estimating the probability that a bird or bat that died is found by a searcher are provided. Further functions calculate the posterior distribution of the number of fatalities based on the number of carcasses found and the estimated detection probability.
Maintained by Fraenzi Korner-Nievergelt. Last updated 1 years ago.
7.2 match 2.93 score 17 scripts
dtkaplan
LSTbook:Data and Software for "Lessons in Statistical Thinking"
"Lessons in Statistical Thinking" D.T. Kaplan (2014) <https://dtkaplan.github.io/Lessons-in-statistical-thinking/> is a textbook for a first or second course in statistics that embraces data wrangling, causal reasoning, modeling, statistical adjustment, and simulation. 'LSTbook' supports the student-centered, tidy, pipeline-oriented computing style featured in the book.
Maintained by Daniel Kaplan. Last updated 2 days ago.
3.3 match 4 stars 6.29 score 27 scripts
rpruim
fastR2:Foundations and Applications of Statistics Using R (2nd Edition)
Data sets and utilities to accompany the second edition of "Foundations and Applications of Statistics: an Introduction using R" (R Pruim, published by AMS, 2017), a text covering topics from probability and mathematical statistics at an advanced undergraduate level. R is integrated throughout, and access to all the R code in the book is provided via the snippet() function.
Maintained by Randall Pruim. Last updated 1 years ago.
3.5 match 13 stars 5.85 score 108 scripts
staffanbetner
rethinking:Statistical Rethinking book package
Utilities for fitting and comparing models
Maintained by Richard McElreath. Last updated 3 months ago.
3.8 match 5.42 score 4.4k scripts
statmanrobin
Stat2Data:Datasets for Stat2
Datasets for the textbook Stat2: Modeling with Regression and ANOVA (second edition). The package also includes data for the first edition, Stat2: Building Models for a World of Data and a few functions for plotting diagnostics.
Maintained by Robin Lock. Last updated 6 years ago.
3.8 match 5 stars 4.94 score 544 scripts
lightbluetitan
crimedatasets:A Comprehensive Collection of Crime-Related Datasets
A comprehensive collection of datasets exclusively focused on crimes, criminal activities, and related topics. This package serves as a valuable resource for researchers, analysts, and students interested in crime analysis, criminology, social and economic studies related to criminal behavior. Datasets span global and local contexts, with a mix of tabular and spatial data.
Maintained by Renzo Caceres Rossi. Last updated 4 months ago.
3.8 match 8 stars 4.90 score 3 scripts
rudeboybert
resampledata:Data Sets for Mathematical Statistics with Resampling in R
Package of data sets from "Mathematical Statistics with Resampling in R" (1st Ed. 2011, 2nd Ed. 2018) by Laura Chihara and Tim Hesterberg.
Maintained by Albert Y. Kim. Last updated 4 months ago.
3.4 match 15 stars 5.15 score 187 scripts
jverzani
UsingR:Data Sets, Etc. for the Text "Using R for Introductory Statistics", Second Edition
A collection of data sets to accompany the textbook "Using R for Introductory Statistics," second edition.
Maintained by John Verzani. Last updated 3 years ago.
3.4 match 1 stars 4.97 score 1.4k scripts
bioc
rsbml:R support for SBML, using libsbml
Links R to libsbml for SBML parsing, validating output, provides an S4 SBML DOM, converts SBML to R graph objects. Optionally links to the SBML ODE Solver Library (SOSLib) for simulating models.
Maintained by Michael Lawrence. Last updated 18 days ago.
graphandnetworkpathwaysnetworklibsbmlcpp
3.0 match 4.71 score 19 scripts 1 dependentscran
varrank:Heuristics Tools Based on Mutual Information for Variable Ranking
A computational toolbox of heuristics approaches for performing variable ranking and feature selection based on mutual information well adapted for multivariate system epidemiology datasets. The core function is a general implementation of the minimum redundancy maximum relevance model. R. Battiti (1994) <doi:10.1109/72.298224>. Continuous variables are discretized using a large choice of rule. Variables ranking can be learned with a sequential forward/backward search algorithm. The two main problems that can be addressed by this package is the selection of the most representative variable within a group of variables of interest (i.e. dimension reduction) and variable ranking with respect to a set of features of interest.
Maintained by Annina Cincera. Last updated 2 years ago.
5.0 match 2.60 score 20 scripts
elipousson
crashapi:CrashAPI
Get Fatality Analysis Reporting System (FARS) data with the FARS API from the U.S. National Highway Traffic Safety Administration (NHTSA).
Maintained by Eli Pousson. Last updated 6 months ago.
3.8 match 17 stars 3.23 score 7 scripts
chjackson
disbayes:Bayesian Multi-State Modelling of Chronic Disease Burden Data
Estimation of incidence and case fatality for a chronic disease, given partial information, using a multi-state model. Given data on age-specific mortality and either incidence or prevalence, Bayesian inference is used to estimate the posterior distributions of incidence, case fatality, and functions of these such as prevalence. The methods are described in Jackson et al. (2023) <doi:10.1093/jrsssa/qnac015>.
Maintained by Christopher Jackson. Last updated 1 years ago.
2.4 match 8 stars 4.60 score 10 scripts
justinmshea
wooldridge:115 Data Sets from "Introductory Econometrics: A Modern Approach, 7e" by Jeffrey M. Wooldridge
Students learning both econometrics and R may find the introduction to both challenging. The wooldridge data package aims to lighten the task by efficiently loading any data set found in the text with a single command. Data sets have been compressed to a fraction of their original size. Documentation files contain page numbers, the original source, time of publication, and notes from the author suggesting avenues for further analysis and research. If one needs an introduction to R model syntax, a vignette contains solutions to examples from chapters of the text. Data sets are from the 7th edition (Wooldridge 2020, ISBN-13 978-1-337-55886-0), and are backwards compatible with all previous versions of the text.
Maintained by Justin M. Shea. Last updated 3 months ago.
1.1 match 203 stars 9.38 score 1.4k scripts
tyee001
VGAMdata:Data Supporting the 'VGAM' Package
Mainly data sets to accompany the VGAM package and the book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015) <DOI:10.1007/978-1-4939-2818-7>. These are used to illustrate vector generalized linear and additive models (VGLMs/VGAMs), and associated models (Reduced-Rank VGLMs, Quadratic RR-VGLMs, Row-Column Interaction Models, and constrained and unconstrained ordination models in ecology). This package now contains some old VGAM family functions which have been replaced by newer ones (often because they are now special cases).
Maintained by Thomas Yee. Last updated 1 months ago.
3.5 match 1 stars 2.94 score 95 scripts 1 dependentsbioc
oposSOM:Comprehensive analysis of transcriptome data
This package translates microarray expression data into metadata of reduced dimension. It provides various sample-centered and group-centered visualizations, sample similarity analyses and functional enrichment analyses. The underlying SOM algorithm combines feature clustering, multidimensional scaling and dimension reduction, along with strong visualization capabilities. It enables extraction and description of functional expression modules inherent in the data.
Maintained by Henry Loeffler-Wirth. Last updated 5 months ago.
geneexpressiondifferentialexpressiongenesetenrichmentdatarepresentationvisualizationcpp
2.3 match 4.48 score 7 scripts
sellorm
rlog:A Simple, Opinionated Logging Utility
A very lightweight package that writes out log messages in an opinionated way. Simpler and lighter than other logging packages, 'rlog' provides a compact feature set that focuses on getting the job done in a Unix-like way.
Maintained by Mark Sellors. Last updated 3 years ago.
2.0 match 19 stars 4.81 score 68 scriptssvmiller
peacesciencer:Tools and Data for Quantitative Peace Science Research
These are useful tools and data sets for the study of quantitative peace science. The goal for this package is to include tools and data sets for doing original research that mimics well what a user would have to previously get from a software package that may not be well-sourced or well-supported. Those software bundles were useful the extent to which they encourage replications of long-standing analyses by starting the data-generating process from scratch. However, a lot of the functionality can be done relatively quickly and more transparently in the R programming language.
Maintained by Steve Miller. Last updated 4 days ago.
1.8 match 29 stars 5.49 score 211 scripts
timhesterberg
resampledata3:Data Sets for "Mathematical Statistics with Resampling and R" (3rd Ed)
Data sets for Chihara and Hesterberg (2022, ISBN: 978-1-119-87404-1) "Mathematical Statistics with Resampling in R" (3rd Ed).
Maintained by Tim Hesterberg. Last updated 3 years ago.
6.0 match 1.52 score 33 scripts
dipterix
dipsaus:A Dipping Sauce for Data Analysis and Visualizations
Works as an "add-on" to packages like 'shiny', 'future', as well as 'rlang', and provides utility functions. Just like dipping sauce adding flavors to potato chips or pita bread, 'dipsaus' for data analysis and visualizations adds handy functions and enhancements to popular packages. The goal is to provide simple solutions that are frequently asked for online, such as how to synchronize 'shiny' inputs without freezing the app, or how to get memory size on 'Linux' or 'MacOS' system. The enhancements roughly fall into these four categories: 1. 'shiny' input widgets; 2. high-performance computing using the 'future' package; 3. modify R calls and convert among numbers, strings, and other objects. 4. utility functions to get system information such like CPU chip-set, memory limit, etc.
Maintained by Zhengjia Wang. Last updated 6 days ago.
1.1 match 13 stars 7.90 score 85 scripts 3 dependents
imranshakoor
DDPM:Data Sets for Discrete Probability Models
A wide collection of univariate discrete data sets from various applied domains related to distribution theory. The functions allow quick, easy, and efficient access to 100 univariate discrete data sets. The data are related to different applied domains, including medical, reliability analysis, engineering, manufacturing, occupational safety, geological sciences, terrorism, psychology, agriculture, environmental sciences, road traffic accidents, demography, actuarial science, law, and justice. The documentation, along with associated references for further details and uses, is presented.
Maintained by Muhammad Imran. Last updated 2 years ago.
6.7 match 1.00 score
kjetil1001
SenSrivastava:Datasets from Sen & Srivastava
Collection of datasets from Sen & Srivastava: "Regression Analysis, Theory, Methods and Applications", Springer. Sources for individual data files are more fully documented in the book.
Maintained by Kjetil B Halvorsen. Last updated 1 years ago.
3.8 match 1.76 score 57 scripts
tzakharko
precondition:Lightweight Precondition, Postcondition, and Sanity Checks
Implements fast, safe, and customizable assertions routines, which can be used in place of `base::stopifnot()`.
Maintained by Taras Zakharko. Last updated 2 years ago.
1.7 match 11 stars 3.74 score 1 scripts
rodrigozepeda
covidmx:Descarga y analiza datos de COVID-19 en México
Herramientas para el análisis de datos de COVID-19 en México. Descarga y analiza los datos para COVID-19 de la Direccion General de Epidemiología de México (DGE) <https://www.gob.mx/salud/documentos/datos-abiertos-152127>, la Red de Infecciones Respiratorias Agudas Graves (Red IRAG) <https://www.gits.igg.unam.mx/red-irag-dashboard/reviewHome> y la Iniciativa Global para compartir todos los datos de influenza (GISAID) <https://gisaid.org/>. English: Downloads and analyzes data of COVID-19 from the Mexican General Directorate of Epidemiology (DGE), the Network of Severe Acute Respiratory Infections (IRAG network),and the Global Initiative on Sharing All Influenza Data GISAID.
Maintained by Rodrigo Zepeda-Tello. Last updated 8 months ago.
covid-19covid-datacovid19covidmxdatos-abiertosdatos-gob-mxmexicomexico-datos
1.9 match 1 stars 2.74 score 11 scripts
ycroissant
pder:Panel Data Econometrics with R
Data sets for the Panel Data Econometrics with R <doi:10.1002/9781119504641> book.
Maintained by Yves Croissant. Last updated 3 years ago.
3.6 match 1.36 score 15 scripts
paulhendricks
titanic:Titanic Passenger Survival Data Set
This data set provides information on the fate of passengers on the fatal maiden voyage of the ocean liner "Titanic", with variables such as economic status (class), sex, age, and survival. Whereas the base R Titanic data found by calling data("Titanic") is an array resulting from cross-tabulating 2201 observations, these data sets are individual non-aggregated observations and formatted in a machine learning context with a training sample, a testing sample, and two additional data sets that can be used for deeper machine learning analysis. These data sets are used in a very well known Kaggle competition; formatting the raw data sets in a package hopefully lowers the barrier to entry for users new to R and machine learning.
Maintained by Paul Hendricks. Last updated 8 years ago.
0.5 match 10 stars 8.95 score 804 scripts 2 dependentskjetil1001
BayesDA:Functions and Datasets for the book "Bayesian Data Analysis"
Functions for Bayesian Data Analysis, with datasets from the book "Bayesian data Analysis (second edition)" by Gelman, Carlin, Stern and Rubin. Not all datasets yet, hopefully completed soon.
Maintained by Kjetil Halvorsen. Last updated 13 years ago.
3.6 match 1.23 score 17 scriptsddalthorp
eoa3:Wildlife Mortality Estimator for Low Fatality Rates and Imperfect Detection
Evidence of Absence software (EoA) is a user-friendly application for estimating bird and bat fatalities at wind farms and designing search protocols. The software is particularly useful in addressing whether the number of fatalities has exceeded a given threshold and what search parameters are needed to give assurance that thresholds were not exceeded. The models are applicable even when zero carcasses have been found in searches, following Huso et al. (2015) <doi:10.1890/14-0764.1>, Dalthorp et al. (2017) <doi:10.3133/ds1055>, and Dalthorp and Huso (2015) <doi:10.3133/ofr20151227>.
Maintained by Daniel Dalthorp. Last updated 4 months ago.
3.6 match 1.00 scoreimranshakoor
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.
3.4 match 1.00 score 1 scripts
lmaowisc
WR:Win Ratio Analysis of Composite Time-to-Event Outcomes
Implements various win ratio methodologies for composite endpoints of death and non-fatal events, including the (stratified) proportional win-fractions (PW) regression models (Mao and Wang, 2020 <doi:10.1111/biom.13382>), (stratified) two-sample tests with possibly recurrent nonfatal event, and sample size calculation for standard win ratio test (Mao et al., 2021 <doi:10.1111/biom.13501>).
Maintained by Lu Mao. Last updated 2 months ago.
0.5 match 6.11 score 43 scripts
cmmid
paramix:Aggregate and Disaggregate Continuous Parameters for Compartmental Models
A convenient framework for aggregating and disaggregating continuously varying parameters (for example, case fatality ratio, with age) for proper parametrization of lower-resolution compartmental models (for example, with broad age categories) and subsequent upscaling of model outputs to high resolution (for example, as needed when calculating age-sensitive measures like years-life-lost).
Maintained by Carl Pearson. Last updated 3 months ago.
0.5 match 2 stars 5.26 score 3 scripts
