gtsummary - Presentation-Ready Data Summary and Analytic Result Tables
Creates presentation-ready tables summarizing data sets, regression models, and more. The code to create the tables is concise and highly customizable. Data frames can be summarized with any function, e.g. mean(), median(), even user-written functions. Regression models are summarized and include the reference rows for categorical variables. Common regression models, such as logistic regression and Cox proportional hazards regression, are automatically identified and the tables are pre-filled with appropriate column headers.
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easy-to-usegthtml5regression-modelsreproducibilityreproducible-researchstatisticssummary-statisticssummary-tablestable1tableone
17.90 score 1.2k stars 52 dependents 13k scripts 60k downloads
cards - Analysis Results Data
Construct CDISC (Clinical Data Interchange Standards Consortium) compliant Analysis Results Data objects. These objects are used and re-used to construct summary tables, visualizations, and written reports. The package also exports utilities for working with these objects and creating new Analysis Results Data objects.
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analysiscdiscdataset
12.60 score 61 stars 61 dependents 289 scripts 51k downloadscards - Analysis Results Data
Construct CDISC (Clinical Data Interchange Standards Consortium) compliant Analysis Results Data objects. These objects are used and re-used to construct summary tables, visualizations, and written reports. The package also exports utilities for working with these objects and creating new Analysis Results Data objects.
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analysiscdiscdataset
12.60 score 61 stars 61 dependents 289 scripts 51k downloads
admiraldev - Utility Functions and Development Tools for the Admiral Package Family
Utility functions to check data, variables and conditions for functions used in 'admiral' and 'admiral' extension packages. Additional utility helper functions to assist developers with maintaining documentation, testing and general upkeep of 'admiral' and 'admiral' extension packages.
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12.05 score 22 stars 11 dependents 310 scripts 3.5k downloadsbroom.helpers - Helpers for Model Coefficients Tibbles
Provides suite of functions to work with regression model 'broom::tidy()' tibbles. The suite includes functions to group regression model terms by variable, insert reference and header rows for categorical variables, add variable labels, and more.
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11.86 score 26 stars 9 dependents 531 scripts 19k downloads
ggsurvfit - Flexible Time-to-Event Figures
Ease the creation of time-to-event (i.e. survival) endpoint figures. The modular functions create figures ready for publication. Each of the functions that add to or modify the figure are written as proper 'ggplot2' geoms or stat methods, allowing the functions from this package to be combined with any function or customization from 'ggplot2' and other 'ggplot2' extension packages.
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11.81 score 105 stars 8 dependents 1.5k scripts 7.9k downloadsggsurvfit - Flexible Time-to-Event Figures
Ease the creation of time-to-event (i.e. survival) endpoint figures. The modular functions create figures ready for publication. Each of the functions that add to or modify the figure are written as proper 'ggplot2' geoms or stat methods, allowing the functions from this package to be combined with any function or customization from 'ggplot2' and other 'ggplot2' extension packages.
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11.81 score 105 stars 8 dependents 1.5k scripts 7.9k downloads
cardx - Extra Analysis Results Data Utilities
Create extra Analysis Results Data (ARD) summary objects. The package supplements the simple ARD functions from the 'cards' package, exporting functions to put statistical results in the ARD format. These objects are used and re-used to construct summary tables, visualizations, and written reports.
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10.54 score 23 stars 53 dependents 168 scripts 44k downloads
pharmaversesdtm - SDTM Test Data for the 'Pharmaverse' Family of Packages
A set of Study Data Tabulation Model (SDTM) datasets from the Clinical Data Interchange Standards Consortium (CDISC) pilot project used for testing and developing Analysis Data Model (ADaM) datasets inside the pharmaverse family of packages. SDTM dataset specifications are described in the CDISC SDTM implementation guide, accessible by creating a free account on <https://www.cdisc.org/>.
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9.46 score 41 stars 1 dependents 477 scripts 1.7k downloads
tfrmt - Applies Display Metadata to Analysis Results Datasets
Creates a framework to store and apply display metadata to Analysis Results Datasets (ARDs). The use of 'tfrmt' allows users to define table format and styling without the data, and later apply the format to the data.
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8.86 score 92 stars 1 dependents 139 scripts 816 downloads
tidycmprsk - Competing Risks Estimation
Provides an intuitive interface for working with the competing risk endpoints. The package wraps the 'cmprsk' package, and exports functions for univariate cumulative incidence estimates and competing risk regression. Methods follow those introduced in Fine and Gray (1999) <doi:10.1002/sim.7501>.
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competing-risks
8.46 score 27 stars 4 dependents 461 scripts 6.4k downloads
tidycmprsk - Competing Risks Estimation
Provides an intuitive interface for working with the competing risk endpoints. The package wraps the 'cmprsk' package, and exports functions for univariate cumulative incidence estimates and competing risk regression. Methods follow those introduced in Fine and Gray (1999) <doi:10.1002/sim.7501>.
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competing-risks
8.45 score 27 stars 4 dependents 461 scripts 6.3k downloadsdcurves - Decision Curve Analysis for Model Evaluation
Diagnostic and prognostic models are typically evaluated with measures of accuracy that do not address clinical consequences. Decision-analytic techniques allow assessment of clinical outcomes, but often require collection of additional information may be cumbersome to apply to models that yield a continuous result. Decision curve analysis is a method for evaluating and comparing prediction models that incorporates clinical consequences, requires only the data set on which the models are tested, and can be applied to models that have either continuous or dichotomous results. See the following references for details on the methods: Vickers (2006) <doi:10.1177/0272989X06295361>, Vickers (2008) <doi:10.1186/1472-6947-8-53>, and Pfeiffer (2020) <doi:10.1002/bimj.201800240>.
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decision-curve-analysis
8.00 score 44 stars 1 dependents 207 scripts 3.6k downloads
starter - Starter Kit for New Projects
Get started with new projects by dropping a skeleton of a new project into a new or existing directory, initialise git repositories, and create reproducible environments with the 'renv' package. The package allows for dynamically named files, folders, file content, as well as the functionality to drop individual template files into existing projects.
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template
6.44 score 28 stars 98 scripts 403 downloads
rstudio.prefs - Manage 'RStudio' Preferences and Addin Shortcuts
Provides an interface for working with 'RStudio' preference files to modify settings and addin shortcuts without using point-and-click option menus. Useful for ensuring a unified experience across devices and for enforcing best practices. Also exposes some settings not available in the Global Options dialog.
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rstudio
5.49 score 31 stars 3 dependents 10 scripts 1.1k downloadsupdater - Utilities for Updating R
When updating major or minor R versions all packages should be re-installed. The utilities in this package assist in getting a user up-and-running again by installing all previously installed R packages. The package uses 'renv' to install; immediately replenishing your 'renv' package cache.
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4.80 score 9 stars 139 scripts 459 downloads
affirm - Secular affirmations against data
What the package does (one paragraph).
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4.15 score 7 stars 6 scripts