rtables - Reporting Tables

Reporting tables often have structure that goes beyond simple rectangular data. The 'rtables' package provides a framework for declaring complex multi-level tabulations and then applying them to data. This framework models both tabulation and the resulting tables as hierarchical, tree-like objects which support sibling sub-tables, arbitrary splitting or grouping of data in row and column dimensions, cells containing multiple values, and the concept of contextual summary computations. A convenient pipe-able interface is provided for declaring table layouts and the corresponding computations, and then applying them to data.

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pharmaceuticalstables

14.53 score 252 stars 20 dependents 717 scripts 5.6k downloads

tern - Create Common TLGs Used in Clinical Trials

Table, Listings, and Graphs (TLG) library for common outputs used in clinical trials.

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clinical-trialsgraphslistingsnestoutputstables

13.35 score 103 stars 11 dependents 563 scripts 6.0k downloads

teal - Exploratory Web Apps for Analyzing Clinical Trials Data

A 'shiny' based interactive exploration framework for analyzing clinical trials data. 'teal' currently provides a dynamic filtering facility and different data viewers. 'teal' 'shiny' applications are built using standard 'shiny' modules.

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clinical-trialsnestshinywebapp

12.92 score 257 stars 7 dependents 353 scripts 571 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

12.41 score 58 stars 50 dependents 200 scripts 59k 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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11.63 score 23 stars 45 dependents 150 scripts 53k downloads

teal.modules.clinical - 'teal' Modules for Standard Clinical Outputs

Provides user-friendly tools for creating and customizing clinical trial reports. By leveraging the 'teal' framework, this package provides 'teal' modules to easily create an interactive panel that allows for seamless adjustments to data presentation, thereby streamlining the creation of detailed and accurate reports.

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clinical-trialsmodulesnestoutputsshiny

11.18 score 42 stars 1 dependents 272 scripts 2.8k downloads

formatters - ASCII Formatting for Values and Tables

We provide a framework for rendering complex tables to ASCII, and a set of formatters for transforming values or sets of values into ASCII-ready display strings.

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formatmatrixtable

11.00 score 19 stars 23 dependents 74 scripts 17k downloads

rlistings - Clinical Trial Style Data Readout Listings

Listings are often part of the submission of clinical trial data in regulatory settings. We provide a framework for the specific formatting features often used when displaying large datasets in that context.

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10.90 score 28 stars 13 dependents 111 scripts 1.9k downloads

teal.data - Data Model for 'teal' Applications

Provides a 'teal_data' class as a unified data model for 'teal' applications focusing on reproducibility and relational data.

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data-modelnest

10.69 score 11 stars 11 dependents 64 scripts 12k downloads

teal.reporter - Reporting Tools for 'shiny' Modules

Prebuilt 'shiny' modules containing tools for the generation of 'rmarkdown' reports, supporting reproducible research and analysis.

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nestreportingshiny

10.36 score 9 stars 8 dependents 27 scripts 5.6k downloads

teal.modules.general - General Modules for 'teal' Applications

Prebuilt 'shiny' modules containing tools for viewing data, visualizing data, understanding missing and outlier values within your data and performing simple data analysis. This extends 'teal' framework that supports reproducible research and analysis.

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general-purposemodulesnestshiny

10.10 score 16 stars 176 scripts 392 downloads

teal.widgets - 'shiny' Widgets for 'teal' Applications

Collection of 'shiny' widgets to support 'teal' applications. Enables the manipulation of application layout and plot or table settings.

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nestshinywidgets

9.93 score 6 stars 10 dependents 40 scripts 3.2k downloads

teal.code - Code Storage and Execution Class for 'teal' Applications

Introduction of 'qenv' S4 class, that facilitates code execution and reproducibility in 'teal' applications.

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nestshiny

9.66 score 12 stars 12 dependents 16 scripts 3.1k downloads

teal.transform - Functions for Extracting and Merging Data in the 'teal' Framework

A standardized user interface for column selection, that facilitates dataset merging in 'teal' framework.

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mergemodulesnesttransform

9.30 score 2 stars 5 dependents 20 scripts 10k downloads

teal.slice - Filter Module for 'teal' Applications

Data filtering module for 'teal' applications. Allows for interactive filtering of data stored in 'data.frame' and 'MultiAssayExperiment' objects. Also displays filtered and unfiltered observation counts.

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modulesnestslice

9.00 score 12 stars 8 dependents 6 scripts 672 downloads

rbmi - Reference Based Multiple Imputation

Implements standard and reference based multiple imputation methods for continuous longitudinal endpoints (Gower-Page et al. (2022) <doi:10.21105/joss.04251>). In particular, this package supports deterministic conditional mean imputation and jackknifing as described in Wolbers et al. (2022) <doi:10.1002/pst.2234>, Bayesian multiple imputation as described in Carpenter et al. (2013) <doi:10.1080/10543406.2013.834911>, and bootstrapped maximum likelihood imputation as described in von Hippel and Bartlett (2021) <doi: 10.1214/20-STS793>.

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8.79 score 21 stars 4 dependents 102 scripts 480 downloads

rtables.officer - Exporting Tools for 'rtables'

Designed to create and display complex tables with R, the 'rtables' R package allows cells in an 'rtables' object to contain any high-dimensional data structure, which can then be displayed with cell-specific formatting instructions. Additionally, the 'rtables.officer' package supports export formats related to the Microsoft Office software suite, including Microsoft Word ('docx') and Microsoft PowerPoint ('pptx').

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pharmaceuticalstables

8.73 score 5 stars 10 dependents 9 scripts 5.9k downloads

nestcolor - Colors for NEST Graphs

Clinical reporting figures require to use consistent colors and configurations. As a part of the Roche open-source clinical reporting project, namely the NEST project, the 'nestcolor' package specifies the color code and default theme with specifying 'ggplot2' theme parameters. Users can easily customize color and theme settings before using the reset of NEST packages to ensure consistent settings in both static and interactive output at the downstream.

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8.31 score 5 stars 12 dependents 191 scripts 897 downloads

random.cdisc.data - Create Random ADaM Datasets

A set of functions to create random Analysis Data Model (ADaM) datasets and cached dataset. ADaM dataset specifications are described by the Clinical Data Interchange Standards Consortium (CDISC) Analysis Data Model Team.

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cdiscdataset

8.27 score 45 stars 1 dependents 71 scripts 367 downloads

teal.logger - Logging Setup for the 'teal' Family of Packages

Utilizing the 'logger' framework to record events within a package, specific to 'teal' family of packages. Supports logging namespaces, hierarchical logging, various log destinations, vectorization, and more.

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loggingnestutilities

7.98 score 7 stars 10 dependents 5 scripts 673 downloads

chevron - Standard TLGs for Clinical Trials Reporting

Provide standard tables, listings, and graphs (TLGs) libraries used in clinical trials. This package implements a structure to reformat the data with 'dunlin', create reporting tables using 'rtables' and 'tern' with standardized input arguments to enable quick generation of standard outputs. In addition, it also provides comprehensive data checks and script generation functionality.

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clinical-trialsgraphslistingsnestreportingtables

7.88 score 19 stars 14 scripts 273 downloads

hermes - Preprocessing, analyzing, and reporting of RNA-seq data

Provides classes and functions for quality control, filtering, normalization and differential expression analysis of pre-processed `RNA-seq` data. Data can be imported from `SummarizedExperiment` as well as `matrix` objects and can be annotated from `BioMart`. Filtering for genes without too low expression or containing required annotations, as well as filtering for samples with sufficient correlation to other samples or total number of reads is supported. The standard normalization methods including cpm, rpkm and tpm can be used, and 'DESeq2` as well as voom differential expression analyses are available.

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rnaseqdifferentialexpressionnormalizationpreprocessingqualitycontrolrna-seqstatistical-engineering

7.80 score 12 stars 1 dependents 45 scripts 456 downloads

autoslider.core - Slide Automation for Tables, Listings and Figures

The normal process of creating clinical study slides is that a statistician manually type in the numbers from outputs and a separate statistician to double check the typed in numbers. This process is time consuming, resource intensive, and error prone. Automatic slide generation is a solution to address these issues. It reduces the amount of work and the required time when creating slides, and reduces the risk of errors from manually typing or copying numbers from the output to slides. It also helps users to avoid unnecessary stress when creating large amounts of slide decks in a short time window.

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7.48 score 8 stars 7 scripts 1.1k downloads

dunlin - Preprocessing Tools for Clinical Trial Data

A collection of functions to preprocess data and organize them in a format amenable to use by chevron.

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7.34 score 5 stars 1 dependents 56 scripts 186 downloads

hermes - Preprocessing, analyzing, and reporting of RNA-seq data

Provides classes and functions for quality control, filtering, normalization and differential expression analysis of pre-processed `RNA-seq` data. Data can be imported from `SummarizedExperiment` as well as `matrix` objects and can be annotated from `BioMart`. Filtering for genes without too low expression or containing required annotations, as well as filtering for samples with sufficient correlation to other samples or total number of reads is supported. The standard normalization methods including cpm, rpkm and tpm can be used, and 'DESeq2` as well as voom differential expression analyses are available.

Last updated

rnaseqdifferentialexpressionnormalizationpreprocessingqualitycontrolrna-seqstatistical-engineering

7.32 score 12 stars 1 dependents 45 scripts

tern.gee - Tables and Graphs for Generalized Estimating Equations (GEE) Model Fits

Generalized estimating equations (GEE) are a popular choice for analyzing longitudinal binary outcomes. This package provides an interface for fitting GEE, currently for logistic regression, within the 'tern' <https://cran.r-project.org/package=tern> framework (Zhu, Sabanés Bové et al., 2023) and tabulate results easily using 'rtables' <https://cran.r-project.org/package=rtables> (Becker, Waddell et al., 2023). It builds on 'geepack' <doi:10.18637/jss.v015.i02> (Højsgaard, Halekoh and Yan, 2006) for the actual GEE model fitting.

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6.90 score 8 stars 2 dependents 3 scripts 2.8k downloads

crane - Supplements the 'gtsummary' Package for Pharmaceutical Reporting

Tables summarizing clinical trial results are often complex and require detailed tailoring prior to submission to a health authority. The 'crane' package supplements the functionality of the 'gtsummary' package for creating these often highly bespoke tables in the pharmaceutical industry.

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gtreproducible-researchsummary-statistics

6.73 score 14 stars 16 scripts 647 downloads

sasr - 'SAS' Interface

Provides a 'SAS' interface, through 'SASPy'(<https://sassoftware.github.io/saspy/>) and 'reticulate'(<https://rstudio.github.io/reticulate/>). This package helps you create 'SAS' sessions, execute 'SAS' code in remote 'SAS' servers, retrieve execution results and log, and exchange datasets between 'SAS' and 'R'. It also helps you to install 'SASPy' and create a configuration file for the connection. Please review the 'SASPy' license file as instructed so that you comply with its separate and independent license.

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statistical-engineering

6.68 score 19 stars 27 scripts 3.8k downloads

tern.mmrm - Tables and Graphs for Mixed Models for Repeated Measures (MMRM)

Mixed models for repeated measures (MMRM) are a popular choice for analyzing longitudinal continuous outcomes in randomized clinical trials and beyond; see for example Cnaan, Laird and Slasor (1997) <doi:10.1002/(SICI)1097-0258(19971030)16:20%3C2349::AID-SIM667%3E3.0.CO;2-E>. This package provides an interface for fitting MMRM within the 'tern' <https://cran.r-project.org/package=tern> framework by Zhu et al. (2023) and tabulate results easily using 'rtables' <https://cran.r-project.org/package=rtables> by Becker et al. (2023). It builds on 'mmrm' <https://cran.r-project.org/package=mmrm> by Sabanés Bové et al. (2023) for the actual MMRM computations.

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graphslistingsstatistical-engineeringtables

6.55 score 7 stars 2 dependents 9 scripts 396 downloads

simIDM - Simulating Oncology Trials using an Illness-Death Model

Based on the illness-death model a large number of clinical trials with oncology endpoints progression-free survival (PFS) and overall survival (OS) can be simulated, see Meller, Beyersmann and Rufibach (2019) <doi:10.1002/sim.8295>. The simulation set-up allows for random and event-driven censoring, an arbitrary number of treatment arms, staggered study entry and drop-out. Exponentially, Weibull and piecewise exponentially distributed survival times can be generated. The correlation between PFS and OS can be calculated.

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multistate-modelssimulation-engine

6.33 score 14 stars 11 scripts 200 downloads

teal.goshawk - Longitudinal Visualization `teal` Modules

Modules that produce web interfaces through which longitudinal visualizations can be dynamically modified and displayed. These included box plot, correlation plot, density distribution plot, line plot, scatter plot and spaghetti plot with accompanying summary. Data are expected in ADaM structure. Requires analysis subject level (ADSL) and analysis laboratory (ADLB) data sets. Beyond core variables, Limit of Quantification flag variable (LOQFL) is expected with levels 'Y', 'N' or NA.

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modulesnest

6.26 score 3 stars 3 scripts

ggplot2.utils - Selected Utilities Extending 'ggplot2'

Selected utilities, in particular 'geoms' and 'stats' functions, extending the 'ggplot2' package. This package imports functions from 'EnvStats' <doi:10.1007/978-1-4614-8456-1> by Millard (2013), 'ggpp' <https://CRAN.R-project.org/package=ggpp> by Aphalo et al. (2023) and 'ggstats' <doi:10.5281/zenodo.10183964> by Larmarange (2023), and then exports them. This package also contains modified code from 'ggquickeda' <https://CRAN.R-project.org/package=ggquickeda> by Mouksassi et al. (2023) for Kaplan-Meier lines and ticks additions to plots. All functions are tested to make sure that they work reliably.

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6.09 score 9 stars 17 scripts 1.0k downloads

teal.modules.hermes - RNA-Seq Analysis Modules to Add to a Teal Application

RNA-seq analysis teal modules based on the `hermes` package.

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modulesrna-seq-analysisshiny

5.57 score 7 stars 33 scripts

goshawk - Longitudinal Visualization Functions

Functions that plot and summarize biomarkers/labs of interest. Visualizations include: box plot, correlation plot, density distribution, line plot and spaghetti plot. Data are expected in ADaM structure. Requires analysis subject level (ADSL) and analysis laboratory (ADLB) data sets. Beyond core variables, Limit of Quantification flag variable (LOQFL) is expected with levels 'Y', 'N' or NA.

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plotsummarization

5.35 score 5 stars 1 dependents

teal.osprey - 'teal' Modules for TLG Functions in Osprey

Community efforts to collect 'teal' modules for TLGs defined in 'osprey' package. Enables 'teal' app developers to create 'shiny' applications with a use of 'osprey' analysis functions.

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modulesnest

4.89 score 5 stars 2 scripts

osprey - R Package to Create TLGs

Community effort to collect TLG code and create a catalogue.

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cataloggraphslistingsnesttables

4.72 score 5 stars 1 dependents 1 scripts

roxy.shinylive - A 'roxygen2' Extension for 'Shinylive'

An extension for 'roxygen2' to embed 'Shinylive' applications in the package documentation.

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documentationroxygen2shinyshinylivewebr

4.51 score 13 stars 1 scripts 434 downloads

tern.rbmi - Create Interface for 'RBMI' and 'tern'

'RBMI' implements standard and reference based multiple imputation methods for continuous longitudinal endpoints (Gower-Page et al. (2022) <doi:10.21105/joss.04251>). This package provides an interface for 'RBMI' uses the 'tern' <https://cran.r-project.org/package=tern> framework by Zhu et al. (2023) and tabulate results easily using 'rtables' <https://cran.r-project.org/package=rtables> by Becker et al. (2023).

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graphslistingstables

4.45 score 4 stars 4 scripts 6 downloads

verdepcheck - Check Package using Various Versions of Dependencies

Derive package dependencies from DESCRIPTION file using various strategies and run "R CMD CHECK" to validate package compatibility.

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checkdevtoolstestingutils

4.30 score 8 stars 1 scripts

teal.picks - Dataset and Variable Picker and Merge Module for 'teal' Applications

Allows users to interactively select datasets, variables, and values within 'teal' applications using a 'tidyselect'-style interface. Selected picks can be merged and transformed into analysis-ready data within 'teal' modules.

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3.00 score 6 scripts