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insightsengineering
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.
Maintained by Joe Zhu. Last updated 27 days ago.
clinical-trialsgraphslistingsnestreportingtables
22.3 match 12 stars 8.24 score 12 scripts
hugogasca
ECG:Center of Gravity Methods
Implementation of the Centre of Gravity method and the Extrapolated Centre of Gravity method. It supports replicated observations. Cameron, D.G., et al (1982) <doi:10.1366/0003702824638610> JCGM (2008) <doi:10.59161/JCGM100-2008E>.
Maintained by Hugo Gasca-Aragon. Last updated 5 months ago.
55.0 match 1.30 score
pharmaverse
admiral:ADaM in R Asset Library
A toolbox for programming Clinical Data Interchange Standards Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in R. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team, 2021, <https://www.cdisc.org/standards/foundational/adam>).
Maintained by Ben Straub. Last updated 11 hours ago.
cdiscclinical-trialsopen-source
3.5 match 238 stars 13.95 score 486 scripts 4 dependents
astamm
roahd:Robust Analysis of High Dimensional Data
A collection of methods for the robust analysis of univariate and multivariate functional data, possibly in high-dimensional cases, and hence with attention to computational efficiency and simplicity of use. See the R Journal publication of Ieva et al. (2019) <doi:10.32614/RJ-2019-032> for an in-depth presentation of the 'roahd' package. See Aleman-Gomez et al. (2021) <arXiv:2103.08874> for details about the concept of depthgram.
Maintained by Aymeric Stamm. Last updated 3 years ago.
7.1 match 2 stars 6.29 score 164 scripts 2 dependents
vankesteren
rpeaks:Fast detection of R peaks in ecg data
Package for fast detection of R peaks using a simplified pan-tompkins algorithm. Uses fast C++ code to speed up computations for long ecg recordings.
Maintained by Erik-Jan van Kesteren. Last updated 1 years ago.
ecgheart-rate-analysisqrsqrs-detectionsignal-processingopenblascpp
16.1 match 5 stars 2.70 score 5 scripts
shah-in-boots
EGM:Evaluating Cardiac Electrophysiology Signals
A system for importing electrophysiological signal, based on the 'Waveform Database (WFDB)' software package, written by Moody et al 2022 <doi:10.13026/gjvw-1m31>. A wrapper for utilizing 'WFDB' functions for reading and writing signal data, as well as functions for visualization and analysis are provided. A stable and broadly compatible class for working with signal data, supporting the reading in of cardiac electrophysiogical files such as intracardiac electrograms, is introduced.
Maintained by Anish S. Shah. Last updated 23 days ago.
cardiologyelectrophysiologysignal-processingcpp
7.2 match 5.32 score 9 scripts
r-forge
RHRV:Heart Rate Variability Analysis of ECG Data
Allows users to import data files containing heartbeat positions in the most broadly used formats, to remove outliers or points with unacceptable physiological values present in the time series, to plot HRV data, and to perform time domain, frequency domain and nonlinear HRV analysis. See Garcia et al. (2017) <DOI:10.1007/978-3-319-65355-6>.
Maintained by Leandro Rodriguez-Linares. Last updated 6 months ago.
4.6 match 6.79 score 63 scripts 1 dependents
helske
Rlibeemd:Ensemble Empirical Mode Decomposition (EEMD) and Its Complete Variant (CEEMDAN)
An R interface for libeemd (Luukko, Helske, Räsänen, 2016) <doi:10.1007/s00180-015-0603-9>, a C library of highly efficient parallelizable functions for performing the ensemble empirical mode decomposition (EEMD), its complete variant (CEEMDAN), the regular empirical mode decomposition (EMD), and bivariate EMD (BEMD). Due to the possible portability issues CRAN version no longer supports OpenMP, you can install OpenMP-supported version from GitHub: <https://github.com/helske/Rlibeemd/>.
Maintained by Jouni Helske. Last updated 2 years ago.
cdecompositioneemdemdtime-seriesgslcppopenmp
3.1 match 39 stars 6.14 score 17 scripts 14 dependents
safetygraphics
safetyCharts:Charts for Monitoring Clinical Trial Safety
Contains chart code for monitoring clinical trial safety. Charts can be used as standalone output, but are also designed for use with the 'safetyGraphics' package, which makes it easy to load data and customize the charts using an interactive web-based interface created with Shiny.
Maintained by Jeremy Wildfire. Last updated 6 months ago.
3.2 match 9 stars 5.36 score 21 scripts 1 dependentsinsightsengineering
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.
Maintained by Joe Zhu. Last updated 5 months ago.
1.9 match 33 stars 8.60 score 52 scripts
pauleilers
JOPS:Practical Smoothing with P-Splines
Functions and data to reproduce all plots in the book "Practical Smoothing. The Joys of P-splines" by Paul H.C. Eilers and Brian D. Marx (2021, ISBN:978-1108482950).
Maintained by Paul Eilers. Last updated 2 years ago.
4.0 match 1 stars 3.43 score 296 scripts 3 dependentspharmaverse
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.
1.6 match 21 stars 7.66 score 15 scriptssafetygraphics
safetyGraphics:Interactive Graphics for Monitoring Clinical Trial Safety
A framework for evaluation of clinical trial safety. Users can interactively explore their data using the included 'Shiny' application.
Maintained by Jeremy Wildfire. Last updated 2 years ago.
1.1 match 98 stars 8.18 score 111 scripts
openanalytics
patientProfilesVis:Visualization of Patient Profiles
Creation of patient profile visualizations for exploration, diagnostic or monitoring purposes during a clinical trial. These static visualizations display a patient-specific overview of the evolution during the trial time frame of parameters of interest (as laboratory, ECG, vital signs), presence of adverse events, exposure to a treatment; associated with metadata patient information, as demography, concomitant medication. The visualizations can be tailored for specific domain(s) or endpoint(s) of interest. Visualizations are exported into patient profile report(s) or can be embedded in custom report(s).
Maintained by Laure Cougnaud. Last updated 9 months ago.
0.5 match 7 stars 5.15 score 9 scripts
glucodensities
biosensors.usc:Distributional Data Analysis Techniques for Biosensor Data
Unified and user-friendly framework for using new distributional representations of biosensors data in different statistical modeling tasks: regression models, hypothesis testing, cluster analysis, visualization, and descriptive analysis. Distributional representations are a functional extension of compositional time-range metrics and we have used them successfully so far in modeling glucose profiles and accelerometer data. However, these functional representations can be used to represent any biosensor data such as ECG or medical imaging such as fMRI. Matabuena M, Petersen A, Vidal JC, Gude F. "Glucodensities: A new representation of glucose profiles using distributional data analysis" (2021) <doi:10.1177/0962280221998064>.
Maintained by Juan C. Vidal. Last updated 3 years ago.
0.5 match 4.18 score 3 scripts