Showing 71 of total 71 results (show query)
rdatatable
data.table:Extension of `data.frame`
Fast aggregation of large data (e.g. 100GB in RAM), fast ordered joins, fast add/modify/delete of columns by group using no copies at all, list columns, friendly and fast character-separated-value read/write. Offers a natural and flexible syntax, for faster development.
Maintained by Tyson Barrett. Last updated 2 days ago.
3.7k stars 23.51 score 230k scripts 4.6k dependents
r-lib
rlang:Functions for Base Types and Core R and 'Tidyverse' Features
A toolbox for working with base types, core R features like the condition system, and core 'Tidyverse' features like tidy evaluation.
Maintained by Lionel Henry. Last updated 4 days ago.
517 stars 20.56 score 9.8k scripts 15k 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
625 stars 14.15 score 4.0k scripts 16 dependents
bioc
decoupleR:decoupleR: Ensemble of computational methods to infer biological activities from omics data
Many methods allow us to extract biological activities from omics data using information from prior knowledge resources, reducing the dimensionality for increased statistical power and better interpretability. Here, we present decoupleR, a Bioconductor package containing different statistical methods to extract these signatures within a unified framework. decoupleR allows the user to flexibly test any method with any resource. It incorporates methods that take into account the sign and weight of network interactions. decoupleR can be used with any omic, as long as its features can be linked to a biological process based on prior knowledge. For example, in transcriptomics gene sets regulated by a transcription factor, or in phospho-proteomics phosphosites that are targeted by a kinase.
Maintained by Pau Badia-i-Mompel. Last updated 5 months ago.
differentialexpressionfunctionalgenomicsgeneexpressiongeneregulationnetworksoftwarestatisticalmethodtranscription
230 stars 11.27 score 316 scripts 3 dependents
winvector
wrapr:Wrap R Tools for Debugging and Parametric Programming
Tools for writing and debugging R code. Provides: '%.>%' dot-pipe (an 'S3' configurable pipe), unpack/to (R style multiple assignment/return), 'build_frame()'/'draw_frame()' ('data.frame' example tools), 'qc()' (quoting concatenate), ':=' (named map builder), 'let()' (converts non-standard evaluation interfaces to parametric standard evaluation interfaces, inspired by 'gtools::strmacro()' and 'base::bquote()'), and more.
Maintained by John Mount. Last updated 2 years ago.
137 stars 11.11 score 390 scripts 12 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 dependents
shixiangwang
sigminer:Extract, Analyze and Visualize Mutational Signatures for Genomic Variations
Genomic alterations including single nucleotide substitution, copy number alteration, etc. are the major force for cancer initialization and development. Due to the specificity of molecular lesions caused by genomic alterations, we can generate characteristic alteration spectra, called 'signature' (Wang, Shixiang, et al. (2021) <DOI:10.1371/journal.pgen.1009557> & Alexandrov, Ludmil B., et al. (2020) <DOI:10.1038/s41586-020-1943-3> & Steele Christopher D., et al. (2022) <DOI:10.1038/s41586-022-04738-6>). This package helps users to extract, analyze and visualize signatures from genomic alteration records, thus providing new insight into cancer study.
Maintained by Shixiang Wang. Last updated 6 months ago.
bayesian-nmfbioinformaticscancer-researchcnvcopynumber-signaturescosmic-signaturesdbseasy-to-useindelmutational-signaturesnmfnmf-extractionsbssignature-extractionsomatic-mutationssomatic-variantsvisualizationcpp
150 stars 9.48 score 123 scripts 2 dependents
gdemin
maditr:Fast Data Aggregation, Modification, and Filtering with Pipes and 'data.table'
Provides pipe-style interface for 'data.table'. Package preserves all 'data.table' features without significant impact on performance. 'let' and 'take' functions are simplified interfaces for most common data manipulation tasks. For example, you can write 'take(mtcars, mean(mpg), by = am)' for aggregation or 'let(mtcars, hp_wt = hp/wt, hp_wt_mpg = hp_wt/mpg)' for modification. Use 'take_if/let_if' for conditional aggregation/modification. Additionally there are some conveniences such as automatic 'data.frame' conversion to 'data.table'.
Maintained by Gregory Demin. Last updated 5 months ago.
61 stars 8.98 score 248 scripts 7 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
sollano
forestmangr:Forest Mensuration and Management
Processing forest inventory data with methods such as simple random sampling, stratified random sampling and systematic sampling. There are also functions for yield and growth predictions and model fitting, linear and nonlinear grouped data fitting, and statistical tests. References: Kershaw Jr., Ducey, Beers and Husch (2016). <doi:10.1002/9781118902028>.
Maintained by Sollano Rabelo Braga. Last updated 4 months ago.
17 stars 7.97 score 378 scripts
schlosslab
mikropml:User-Friendly R Package for Supervised Machine Learning Pipelines
An interface to build machine learning models for classification and regression problems. 'mikropml' implements the ML pipeline described by Topçuoğlu et al. (2020) <doi:10.1128/mBio.00434-20> with reasonable default options for data preprocessing, hyperparameter tuning, cross-validation, testing, model evaluation, and interpretation steps. See the website <https://www.schlosslab.org/mikropml/> for more information, documentation, and examples.
Maintained by Kelly Sovacool. Last updated 2 years ago.
56 stars 7.83 score 86 scripts
edjnet
tidywikidatar:Explore 'Wikidata' Through Tidy Data Frames
Query 'Wikidata' API <https://www.wikidata.org/wiki/Wikidata:Main_Page> with ease, get tidy data frames in response, and cache data in a local database.
Maintained by Giorgio Comai. Last updated 8 months ago.
26 stars 7.76 score 46 scripts 2 dependents
spsanderson
TidyDensity:Functions for Tidy Analysis and Generation of Random Data
To make it easy to generate random numbers based upon the underlying stats distribution functions. All data is returned in a tidy and structured format making working with the data simple and straight forward. Given that the data is returned in a tidy 'tibble' it lends itself to working with the rest of the 'tidyverse'.
Maintained by Steven Sanderson. Last updated 5 months ago.
bootstrapdensitydistributionsggplot2probabilityr-languagesimulationstatisticstibbletidy
34 stars 7.73 score 66 scripts 1 dependentsspsanderson
healthyR.ts:The Time Series Modeling Companion to 'healthyR'
Hospital time series data analysis workflow tools, modeling, and automations. This library provides many useful tools to review common administrative time series hospital data. Some of these include average length of stay, and readmission rates. The aim is to provide a simple and consistent verb framework that takes the guesswork out of everything.
Maintained by Steven Sanderson. Last updated 6 months ago.
aiarima-forecastingarima-modeletsforecastingggplot2machine-learningmodelingprophettime-seriestime-series-analysisworkflows
19 stars 7.58 score 56 scripts 1 dependents
rmi-pacta
r2dii.analysis:Measure Climate Scenario Alignment of Corporate Loans
These tools help you to assess if a corporate lending portfolio aligns with climate goals. They summarize key climate indicators attributed to the portfolio (e.g. production, emission factors), and calculate alignment targets based on climate scenarios. They implement in R the last step of the free software 'PACTA' (Paris Agreement Capital Transition Assessment; <https://www.transitionmonitor.com/>). Financial institutions use 'PACTA' to study how their capital allocation decisions align with climate change mitigation goals.
Maintained by Jacob Kastl. Last updated 25 days ago.
12 stars 7.45 score 46 scripts 2 dependentsspsanderson
healthyR.ai:The Machine Learning and AI Modeling Companion to 'healthyR'
Hospital machine learning and ai data analysis workflow tools, modeling, and automations. This library provides many useful tools to review common administrative hospital data. Some of these include predicting length of stay, and readmits. The aim is to provide a simple and consistent verb framework that takes the guesswork out of everything.
Maintained by Steven Sanderson. Last updated 2 months ago.
aiartificial-intelligencehealthcareanalyticshealthyrhealthyversemachine-learning
16 stars 7.37 score 36 scripts 1 dependentsspsanderson
healthyR:Hospital Data Analysis Workflow Tools
Hospital data analysis workflow tools, modeling, and automations. This library provides many useful tools to review common administrative hospital data. Some of these include average length of stay, readmission rates, average net pay amounts by service lines just to name a few. The aim is to provide a simple and consistent verb framework that takes the guesswork out of everything.
Maintained by Steven Sanderson. Last updated 9 months ago.
analysisanalyticshealthcarehealthyr
30 stars 7.27 score 103 scripts 1 dependentsbioc
tidytof:Analyze High-dimensional Cytometry Data Using Tidy Data Principles
This package implements an interactive, scientific analysis pipeline for high-dimensional cytometry data built using tidy data principles. It is specifically designed to play well with both the tidyverse and Bioconductor software ecosystems, with functionality for reading/writing data files, data cleaning, preprocessing, clustering, visualization, modeling, and other quality-of-life functions. tidytof implements a "grammar" of high-dimensional cytometry data analysis.
Maintained by Timothy Keyes. Last updated 5 months ago.
singlecellflowcytometrybioinformaticscytometrydata-sciencesingle-celltidyversecpp
18 stars 7.24 score 35 scriptsshixiangwang
ezcox:Easily Process a Batch of Cox Models
A tool to operate a batch of univariate or multivariate Cox models and return tidy result.
Maintained by Shixiang Wang. Last updated 1 years ago.
21 stars 7.22 score 44 scripts 1 dependents
ready4-dev
ready4:Develop and Use Modular Health Economic Models
A template model module, tools to help find model modules derived from this template and a programming syntax to use these modules in health economic analyses. These elements are the foundation for a prototype software framework for developing living and transferable models and using those models in reproducible health economic analyses. The software framework is extended by other R libraries. For detailed documentation about the framework and how to use it visit <https://www.ready4-dev.com/>. For a background to the methodological issues that the framework is attempting to help solve, see Hamilton et al. (2024) <doi:10.1007/s40273-024-01378-8>.
Maintained by Matthew Hamilton. Last updated 5 months ago.
computational-modelinghealth-economicssoftware-framework
2 stars 6.84 score 95 scripts
calvagone
campsismod:Generic Implementation of a PK/PD Model
A generic, easy-to-use and expandable implementation of a pharmacokinetic (PK) / pharmacodynamic (PD) model based on the S4 class system. This package allows the user to read/write a pharmacometric model from/to files and adapt it further on the fly in the R environment. For this purpose, this package provides an intuitive API to add, modify or delete equations, ordinary differential equations (ODE's), model parameters or compartment properties (like infusion duration or rate, bioavailability and initial values). Finally, this package also provides a useful export of the model for use with simulation packages 'rxode2' and 'mrgsolve'. This package is designed and intended to be used with package 'campsis', a PK/PD simulation platform built on top of 'rxode2' and 'mrgsolve'.
Maintained by Nicolas Luyckx. Last updated 12 days ago.
5 stars 6.82 score 42 scripts 1 dependents
wjakethompson
measr:Bayesian Psychometric Measurement Using 'Stan'
Estimate diagnostic classification models (also called cognitive diagnostic models) with 'Stan'. Diagnostic classification models are confirmatory latent class models, as described by Rupp et al. (2010, ISBN: 978-1-60623-527-0). Automatically generate 'Stan' code for the general loglinear cognitive diagnostic diagnostic model proposed by Henson et al. (2009) <doi:10.1007/s11336-008-9089-5> and other subtypes that introduce additional model constraints. Using the generated 'Stan' code, estimate the model evaluate the model's performance using model fit indices, information criteria, and reliability metrics.
Maintained by W. Jake Thompson. Last updated 13 hours ago.
bayesiancdmcmdstanrcognitive-diagnosiscognitive-diagnostic-modelsdcmdiagnostic-classification-modelspsychometricsrstanstancpp
10 stars 6.81 score 31 scripts
matthewheun
matsbyname:An Implementation of Matrix Mathematics that Respects Row and Column Names
An implementation of matrix mathematics wherein operations are performed "by name."
Maintained by Matthew Heun. Last updated 22 days ago.
2 stars 6.65 score 150 scripts 1 dependentsbusiness-science
modeltime.resample:Resampling Tools for Time Series Forecasting
A 'modeltime' extension that implements forecast resampling tools that assess time-based model performance and stability for a single time series, panel data, and cross-sectional time series analysis.
Maintained by Matt Dancho. Last updated 1 years ago.
accuracy-metricsbacktestingbootstrapbootstrappingcross-validationforecastingmodeltimemodeltime-resampleresamplingstatisticstidymodelstime-series
19 stars 6.64 score 38 scripts 1 dependentsspsanderson
tidyAML:Automatic Machine Learning with 'tidymodels'
The goal of this package will be to provide a simple interface for automatic machine learning that fits the 'tidymodels' framework. The intention is to work for regression and classification problems with a simple verb framework.
Maintained by Steven Sanderson. Last updated 11 months ago.
automatic-machine-learningautomlclassificationmachine-learningparsnipr-languager-programmingregressiontidytidymodelstidyverse
68 stars 6.56 score 36 scripts 1 dependents
lhdjung
scrutiny:Error Detection in Science
Test published summary statistics for consistency (Brown and Heathers, 2017, <doi:10.1177/1948550616673876>; Allard, 2018, <https://aurelienallard.netlify.app/post/anaytic-grimmer-possibility-standard-deviations/>; Heathers and Brown, 2019, <https://osf.io/5vb3u/>). The package also provides infrastructure for implementing new error detection techniques.
Maintained by Lukas Jung. Last updated 6 months ago.
8 stars 6.22 score 38 scripts
jimbrig
lossrx:Actuarial Loss Development and Reserving with R
Actuarial Loss Development and Reserving Helper Functions and ShinyApp.
Maintained by Jimmy Briggs. Last updated 3 months ago.
actuarial-scienceclaims-dataclaims-reservingdata-scienceinsurancemodellingproperty-casualtyreservingrshinyworkflow
14 stars 5.82 score 7 scripts
asardaes
table.express:Build 'data.table' Expressions with Data Manipulation Verbs
A specialization of 'dplyr' data manipulation verbs that parse and build expressions which are ultimately evaluated by 'data.table', letting it handle all optimizations. A set of additional verbs is also provided to facilitate some common operations on a subset of the data.
Maintained by Alexis Sarda-Espinosa. Last updated 2 years ago.
65 stars 5.81 score 8 scriptsmatthewheun
matsindf:Matrices in Data Frames
Provides functions to collapse a tidy data frame into matrices in a data frame and expand a data frame of matrices into a tidy data frame.
Maintained by Matthew Heun. Last updated 21 days ago.
5 stars 5.48 score 40 scripts
christopherkenny
censable:Making Census Data More Usable
Creates a common framework for organizing, naming, and gathering population, age, race, and ethnicity data from the Census Bureau. Accesses the API <https://www.census.gov/data/developers/data-sets.html>. Provides tools for adding information to existing data to line up with Census data.
Maintained by Christopher T. Kenny. Last updated 10 months ago.
8 stars 5.30 score 42 scripts 4 dependentsspsanderson
healthyverse:Easily Install and Load the 'healthyverse'
The 'healthyverse' is a set of packages that work in harmony because they share common data representations and 'API' design. This package is designed to make it easy to install and load multiple 'healthyverse' packages in a single step.
Maintained by Steven Sanderson. Last updated 6 months ago.
analyticshealthcarehealthcare-applicationinstallationinstallermetapackages
11 stars 5.12 score 24 scripts
padrinodb
Rpadrino:Interact with the 'PADRINO' IPM Database
'PADRINO' houses textual representations of Integral Projection Models which can be converted from their table format into full kernels to reproduce or extend an already published analysis. 'Rpadrino' is an R interface to this database. For more information on Integral Projection Models, see Easterling et al. (2000) <doi:10.1890/0012-9658(2000)081[0694:SSSAAN]2.0.CO;2>, Merow et al. (2013) <doi:10.1111/2041-210X.12146>, Rees et al. (2014) <doi:10.1111/1365-2656.12178>, and Metcalf et al. (2015) <doi:10.1111/2041-210X.12405>. See Levin et al. (2021) for more information on 'ipmr', the engine that powers model reconstruction <doi:10.1111/2041-210X.13683>.
Maintained by Sam Levin. Last updated 2 years ago.
3 stars 4.95 score 15 scripts
forestgeo
fgeo.tool:Import and Manipulate 'ForestGEO' Data
To help you access, transform, analyze, and visualize 'ForestGEO' data, we developed a collection of R packages (<https://forestgeo.github.io/fgeo/>). This package, in particular, helps you to easily import, filter, and modify 'ForestGEO' data. To learn more about 'ForestGEO' visit <https://forestgeo.si.edu/>.
Maintained by Mauro Lepore. Last updated 3 years ago.
dynamicsecologyfgeoforestgeomiscelaneastoolstreeutils
2 stars 4.86 score 27 scripts 3 dependents
jonnob
rsetse:Strain Elevation Tension Spring Embedding
An R implementation for the Strain Elevation and Tension embedding algorithm from Bourne (2020) <doi:10.1007/s41109-020-00329-4>. The package embeds graphs and networks using the Strain Elevation and Tension embedding (SETSe) algorithm. SETSe represents the network as a physical system, where edges are elastic, and nodes exert a force either up or down based on node features. SETSe positions the nodes vertically such that the tension in the edges of a node is equal and opposite to the force it exerts for all nodes in the network. The resultant structure can then be analysed by looking at the node elevation and the edge strain and tension. This algorithm works on weighted and unweighted networks as well as networks with or without explicit node features. Edge elasticity can be created from existing edge weights or kept as a constant.
Maintained by Jonathan Bourne. Last updated 3 years ago.
embeddingembedding-graphsgraph-embeddingigraphnetworksnetworkscienceunsupervised-learningopenblascppopenmp
7 stars 4.85 score 8 scripts
scholaempirica
reschola:The Schola Empirica Package
A collection of utilies, themes and templates for data analysis at Schola Empirica.
Maintained by Jan Netík. Last updated 6 months ago.
4 stars 4.83 score 14 scripts
rdinnager
slimr:Create, Run and Post-Process 'SLiM' Population Genetics Forward Simulations
Lets you write 'SLiM' scripts (population genomics simulation) using your favourite R IDE, using a syntax as close as possible to the original 'SLiM' language. It offer many tools to manipulate those scripts, as well as run them in the 'SLiM' software from R, as well as capture and post-process their output, after or even during a simulation.
Maintained by Russell Dinnage. Last updated 5 months ago.
8 stars 4.70 score 42 scriptsshixiangwang
tinyscholar:Get and Show Personal 'Google Scholar' Profile
Provides functions to get personal 'Google Scholar' profile data from web API and show it in table or figure format.
Maintained by Shixiang Wang. Last updated 1 years ago.
8 stars 4.60 score 7 scripts
giocomai
castarter:Content Analysis Starter Toolkit
Consistent approaches for basic web scraping, text mining and word frequency analysis of textual datasets
Maintained by Giorgio Comai. Last updated 14 hours ago.
3 stars 4.59 score 2 scriptsshixiangwang
metawho:Meta-Analytical Implementation to Identify Who Benefits Most from Treatments
A tool for implementing so called 'deft' approach (see Fisher, David J., et al. (2017) <DOI:10.1136/bmj.j573>) and model visualization.
Maintained by Shixiang Wang. Last updated 5 years ago.
deft-approachmeta-analysissubgroup-analysis
7 stars 4.54 score 9 scripts
gaboraszabo
sherlock:Graphical Displays for Structured Problem Solving and Diagnosis
Powerful graphical displays and statistical tools for structured problem solving and diagnosis. The functions of the 'sherlock' package are especially useful for applying the process of elimination as a problem diagnosis technique. The 'sherlock' package was designed to seamlessly work with the 'tidyverse' set of packages and provides a collection of graphical displays built on top of the 'ggplot' and 'plotly' packages, such as different kinds of small multiple plots as well as helper functions such as adding reference lines, normalizing observations, reading in data or saving analysis results in an Excel file. References: David Hartshorne (2019, ISBN: 978-1-5272-5139-7). Stefan H. Steiner, R. Jock MacKay (2005, ISBN: 0873896467).
Maintained by Gabor Szabo. Last updated 4 months ago.
7 stars 4.42 score 15 scripts
atlas-aai
tdcmStan:Automating the Creation of Stan Code for TDCMs
A collection of functions for automatically creating 'Stan' code for transition diagnostic classification models (TDCMs) as they are defined by Madison and Bradshaw (2018) <DOI:10.1007/s11336-018-9638-5>. This package supports automating the creation of 'Stan' code for TDCMs, fungible TDCMs (i.e., TDCMs with item parameters constrained to be equal across all items), and multi-threaded TDCMs.
Maintained by Jeffrey Hoover. Last updated 11 months ago.
4.30 score 3 scriptsbioc
tidyFlowCore:tidyFlowCore: Bringing flowCore to the tidyverse
tidyFlowCore bridges the gap between flow cytometry analysis using the flowCore Bioconductor package and the tidy data principles advocated by the tidyverse. It provides a suite of dplyr-, ggplot2-, and tidyr-like verbs specifically designed for working with flowFrame and flowSet objects as if they were tibbles; however, your data remain flowCore data structures under this layer of abstraction. tidyFlowCore enables intuitive and streamlined analysis workflows that can leverage both the Bioconductor and tidyverse ecosystems for cytometry data.
Maintained by Timothy Keyes. Last updated 5 months ago.
singlecellflowcytometryinfrastructure
1 stars 4.30 score 7 scripts
gongcastro
bvq:Barcelona Vocabulary Questionnaire Database and Helper Functions
Download, clean, and process the Barcelona Vocabulary Questionnaire (BVQ) data. BVQ is a vocabulary inventory developed for assesing the vocabulary of Catalan-Spanish bilinguals infants from the Metropolitan Area of Barcelona (Spain). This package includes functions to download the data from formr servers, and return the processed data in multiple formats.
Maintained by Gonzalo Garcia-Castro. Last updated 3 months ago.
bilingualismlanguagepsycholinguisticsvocabulary
1 stars 4.26 score 8 scriptsatlas-aai
dcm2:Calculating the M2 Model Fit Statistic for Diagnostic Classification Models
A collection of functions for calculating the M2 model fit statistic for diagnostic classification models as described by Liu et al. (2016) <DOI:10.3102/1076998615621293>. These functions provide multiple sources of information for model fit according to the M2 statistic, including the M2 statistic, the *p* value for that M2 statistic, and the Root Mean Square Error of Approximation based on the M2 statistic.
Maintained by Jeffrey Hoover. Last updated 11 months ago.
4.18 score 3 scripts 1 dependents
cran
CohortSurvival:Estimate Survival from Common Data Model Cohorts
Estimate survival using data mapped to the Observational Medical Outcomes Partnership common data model. Survival can be estimated based on user-defined study cohorts.
Maintained by Kim López-Güell. Last updated 10 days ago.
4.08 score
wikihistories
wikkitidy:Tidy Analysis of Wikipedia
Access 'Wikipedia' through the several 'MediaWiki' APIs (<https://www.mediawiki.org/wiki/API>), as well as through the 'XTools' API (<https://www.mediawiki.org/wiki/XTools/API>). Ensure your API calls are correct, and receive results in tidy tibbles.
Maintained by Michael Falk. Last updated 1 months ago.
7 stars 4.02 score 2 scripts
berkorbay
ibb:R Wrapper for Istanbul Municipality Open Data Portal
Call wrappers for Istanbul Metropolitan Municipality's Open Data Portal (Turkish: İstanbul Büyükşehir Belediyesi Açık Veri Portalı) at <https://data.ibb.gov.tr/en/>.
Maintained by Berk Orbay. Last updated 4 years ago.
10 stars 4.00 score 9 scripts
william-swl
baizer:Useful Functions for Data Processing
In ancient Chinese mythology, Bai Ze is a divine creature that knows the needs of everything. 'baizer' provides data processing functions frequently used by the author. Hope this package also knows what you want!
Maintained by William Song. Last updated 1 years ago.
dataframenumbersstringstidyverse
6 stars 3.95 score 5 scripts 1 dependents
jakub-jedrusiak
mtscr:Multidimensional Top Scoring for Creativity Research
Implementation of Multidimensional Top Scoring method for creativity assessment proposed in Boris Forthmann, Maciej Karwowski, Roger E. Beaty (2023) <doi:10.1037/aca0000571>.
Maintained by Jakub Jędrusiak. Last updated 1 months ago.
creativitypsychologypsychometrics
3.70 score 1 scripts
loicym
multibreakeR:Tests for a Structural Change in Multivariate Time Series
Flexible implementation of a structural change point detection algorithm for multivariate time series. It authorizes inclusion of trends, exogenous variables, and break test on the intercept or on the full vector autoregression system. Bai, Lumsdaine, and Stock (1998) <doi:10.1111/1467-937X.00051>.
Maintained by Loic Marechal. Last updated 2 years ago.
3.70 score 3 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.
4 stars 3.30 score 4 scripts
2degreesinvesting
tiltIndicator:Indicators for the 'TILT' Project
Indicators for the 'TILT' project.
Maintained by Mauro Lepore. Last updated 1 years ago.
1 stars 3.18 score 34 scripts 1 dependents
tjmahr
notestar:Notebooks Using 'Targets' and 'Bookdown'
'Targets' is an R package for dependency and build management in data analysis projects. This package provides a set of targets and project infrastructure to create 'bookdown'-based notebooks using 'targets'.
Maintained by Tristan Mahr. Last updated 2 months ago.
bookdownknitrpandocrmarkdowntargets
30 stars 3.18 score 7 scriptsjimbrig
jimstools:Tools for R
What the package does (one paragraph).
Maintained by Jimmy Briggs. Last updated 3 years ago.
2 stars 3.00 score 2 scriptscran
deident:Persistent Data Anonymization Pipeline
A framework for the replicable removal of personally identifiable data (PID) in data sets. The package implements a suite of methods to suit different data types based on the suggestions of Garfinkel (2015) <doi:10.6028/NIST.IR.8053> and the ICO "Guidelines on Anonymization" (2012) <https://ico.org.uk/media/1061/anonymisation-code.pdf>.
Maintained by Robert Cook. Last updated 4 months ago.
2.95 score
eurocontrol
eurocontrol:Helper functions for EUROCONTROL useRs
The helper functions in this package are designed to make it easy, homogeneus and transparent to perform common tasks usually needed by data analysts and useRs in EUROCONTROL.
Maintained by Enrico Spinielli. Last updated 6 months ago.
1 stars 2.85 score 11 scriptsrdinnager
impac:Make packed image mosaics
impac takes a list of images or a function that generates images and packs them onto a canvas using a greedy algorithm, while respecting transparency.
Maintained by Russell Dinnage. Last updated 2 years ago.
14 stars 2.85 score 4 scriptschristopherkenny
divseg:Calculate Diversity and Segregation Indices
Implements common measures of diversity and spatial segregation. This package has tools to compute the majority of measures are reviewed in Massey and Denton (1988) <doi:10.2307/2579183>. Multiple common measures of within-geography diversity are implemented as well. All functions operate on data frames with a 'tidyselect' based workflow.
Maintained by Christopher T. Kenny. Last updated 10 months ago.
1 stars 2.78 score 12 scriptscran
BRVM:Retrieve Historical Data of Companies Listed on the 'BRVM' Stock Exchange
Provide real-time access to data from the Regional Securities Exchange SA(<https://www.brvm.org/en>), commonly known as the 'BRVM' stock exchange. The goal is to facilitate data access for users of the R programming language. The package includes a variety of data that can be accessed by calling functions.
Maintained by Sessie Koffi Frederic. Last updated 1 years ago.
2.70 score
jemus42
poddr:Collect Metadata for Selected Podcasts
Collecting all the data, but just for The Incomparable, Relay.fm and ATP.
Maintained by Lukas Burk. Last updated 27 days ago.
1 stars 2.54 score 6 scripts
wjschne
WJSmisc:Miscellaneous functions from W. Joel Schneider
Several functions I find useful.
Maintained by W. Joel Schneider. Last updated 2 years ago.
5 stars 2.40 score 10 scripts
igordot
phenomenalist:Analysis Toolkit for PhenoCycler (CODEX) Data in R
A collection of tools for cleaning, clustering, and plotting PhenoCycler (CODEX) data.
Maintained by Igor Dolgalev. Last updated 1 years ago.
3 stars 2.18 score 1 scriptsjimbrig
templateeR:Collection of templates for R
Apply variouse R related templates.
Maintained by Jimmy Briggs. Last updated 3 years ago.
2 stars 2.11 score 13 scripts
bradyajohnston
standard:Simplified Fitting and Use of Standard Curves
{standard} provices a more simplified interface to the linear models system in R for the fitting of standard curves and their usage in biochemistry and molecular biology.
Maintained by Brady Johnston. Last updated 1 years ago.
1.98 score 19 scripts
geomarker-io
cincy:Cincinnati Neighborhood, Tract, County, and ZIP Code Geographies
Provide simple feature (sf) objects for Cincinnati neighborhood, tract, county, and ZIP code geographies.
Maintained by Cole Brokamp. Last updated 1 years ago.
1.74 score 11 scripts
mrc-ide
cart:Malaria Cartographic Information
Extract population, prevalence and vector cartographic information for use with malarisimulation.
Maintained by Pete Winskill. Last updated 3 years ago.
1 stars 1.70 score 8 scripts
the-mad-statter
wubik:Helpful R Functions for Databricks at WashU
This package provides helpful functions for using R on Databricks at WashU.
Maintained by Matthew Schuelke. Last updated 10 months ago.
1.70 score 1 scripts
dzhang777
SlideCNA:Calls Copy Number Alterations from Slide-Seq Data
This takes spatial single-cell-type RNA-seq data (specifically designed for Slide-seq v2) that calls copy number alterations (CNAs) using pseudo-spatial binning, clusters cellular units (e.g. beads) based on CNA profile, and visualizes spatial CNA patterns. Documentation about 'SlideCNA' is included in the the pre-print by Zhang et al. (2022, <doi:10.1101/2022.11.25.517982>). The package 'enrichR' (>= 3.0), conditionally used to annotate SlideCNA-determined clusters with gene ontology terms, can be installed at <https://github.com/wjawaid/enrichR> or with install_github("wjawaid/enrichR").
Maintained by Diane Zhang. Last updated 2 months ago.
1.70 score 3 scripts