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.

Last updated 1 months ago

pharmaceuticalstables

13.71 score 230 stars 18 dependents 238 scripts 2.2k 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.

Last updated 2 days ago

clinical-trialsnestshinywebapp

12.67 score 196 stars 5 dependents 172 scripts 652 downloads

tern - Create Common TLGs Used in Clinical Trials

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

Last updated 1 months ago

clinical-trialsgraphslistingsnestoutputstables

12.62 score 79 stars 9 dependents 186 scripts 1.9k 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.

Last updated 3 days ago

analysiscdiscdataset

11.19 score 38 stars 17 dependents 100 scripts 30k 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.

Last updated 1 months ago

10.34 score 27 stars 9 dependents 44 scripts 922 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.

Last updated 1 months ago

formatmatrixtable

10.25 score 16 stars 21 dependents 22 scripts 3.1k 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.

Last updated 23 days ago

data-modelnest

9.98 score 11 stars 8 dependents 44 scripts 845 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.

Last updated 10 months ago

clinical-trialsmodulesnestoutputsshiny

9.63 score 34 stars 136 scripts 617 downloads

teal.reporter - Reporting Tools for 'shiny' Modules

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

Last updated 27 days ago

nestreportingshiny

9.42 score 8 stars 6 dependents 19 scripts 402 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.

Last updated 17 days ago

modulesnestslice

9.28 score 11 stars 6 dependents 3 scripts 818 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.

Last updated 20 days ago

nestshinywidgets

9.21 score 5 stars 8 dependents 34 scripts 458 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.

Last updated 30 days ago

9.09 score 5 stars 10 dependents 109 scripts 1.8k 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.

Last updated 7 days ago

nestshiny

9.00 score 11 stars 9 dependents 11 scripts 775 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.

Last updated 12 months ago

general-purposemodulesnestshiny

8.85 score 12 stars 70 scripts 251 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.

Last updated 4 months ago

cdiscdataset

8.64 score 33 stars 52 scripts 462 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>.

Last updated 2 months ago

8.57 score 18 stars 1 dependents 31 scripts 422 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.

Last updated 9 days ago

mergemodulesnesttransform

8.43 score 3 stars 4 dependents 9 scripts 309 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.

Last updated 4 hours ago

clinical-trialsgraphslistingsnestreportingtables

8.24 score 12 stars 12 scripts 274 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.

Last updated 7 days ago

loggingnestutilities

8.14 score 4 stars 8 dependents 3 scripts 890 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.

Last updated 3 months ago

8.10 score 17 stars 45 scripts 6.9k 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 8 months ago

rnaseqdifferentialexpressionnormalizationpreprocessingqualitycontrolrna-seqstatistical-engineering

7.90 score 11 stars 1 dependents 48 scripts

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 4 months ago

rnaseqdifferentialexpressionnormalizationpreprocessingqualitycontrolrna-seqstatistical-engineering

7.77 score 11 stars 1 dependents 48 scripts 424 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.

Last updated 3 hours ago

7.38 score 4 stars 1 dependents 30 scripts 631 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.

Last updated 5 months ago

graphslistingsstatistical-engineeringtables

7.26 score 6 stars 1 dependents 8 scripts 567 downloads

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.

Last updated 6 months ago

7.07 score 8 stars 1 dependents 3 scripts 332 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').

Last updated 3 days ago

pharmaceuticalstables

6.80 score 1 stars 7 dependents 3 scripts 849 downloads

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.

Last updated 7 months ago

plotsummarization

6.45 score 5 stars 1 dependents

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).

Last updated 3 months ago

graphslistingstables

6.40 score 3 stars 3 scripts 221 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.

Last updated 7 months ago

modulesnest

6.38 score 3 stars 2 scripts

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.

Last updated 1 years ago

multistate-modelssimulation-engine

6.19 score 13 stars 9 scripts 258 downloads

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.

Last updated 8 months ago

6.14 score 6 stars 14 scripts 1.0k 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.

Last updated 1 months ago

5.91 score 3 stars 3 scripts 374 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.

Last updated 2 years ago

statistical-engineering

5.88 score 15 stars 20 scripts 455 downloads

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

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

Last updated 1 years ago

modulesrna-seq-analysisshiny

5.84 score 7 stars 32 scripts

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.

Last updated 4 months ago

checkdevtoolstestingutils

5.36 score 7 stars 1 scripts

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

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

Last updated 3 months ago

documentationroxygen2shinyshinylivewebr

5.15 score 8 stars 242 downloads

osprey - R Package to Create TLGs

Community effort to collect TLG code and create a catalogue.

Last updated 2 years ago

cataloggraphslistingsnesttables

4.31 score 4 stars 1 dependents

teal.osprey - R Package of Teal Module for TLG Functions in Osprey

Community efforts to collect teal modules for TLGs defined in the osprey package. The teal modules add an encoding panel to interactively change the encoding within teal.

Last updated 2 years ago

modulesnest

3.80 score 5 stars 1 scripts