Showing 17 of total 17 results (show query)
dmenne
breathtestcore:Core Functions to Read and Fit 13c Time Series from Breath Tests
Reads several formats of 13C data (IRIS/Wagner, BreathID) and CSV. Creates artificial sample data for testing. Fits Maes/Ghoos, Bluck-Coward self-correcting formula using 'nls', 'nlme'. Methods to fit breath test curves with Bayesian Stan methods are refactored to package 'breathteststan'. For a Shiny GUI, see package 'dmenne/breathtestshiny' on github.
Maintained by Dieter Menne. Last updated 2 months ago.
13cbreathbreath-testgastroenterologymedicalstan
52.4 match 2 stars 6.19 score 64 scripts 1 dependents
thomasp85
tidygraph:A Tidy API for Graph Manipulation
A graph, while not "tidy" in itself, can be thought of as two tidy data frames describing node and edge data respectively. 'tidygraph' provides an approach to manipulate these two virtual data frames using the API defined in the 'dplyr' package, as well as provides tidy interfaces to a lot of common graph algorithms.
Maintained by Thomas Lin Pedersen. Last updated 1 months ago.
graph-algorithmsgraph-manipulationigraphnetwork-analysistidyversecpp
5.2 match 553 stars 14.74 score 4.6k scripts 136 dependents
flujoo
gm:Create Music with Ease
Provides a simple and intuitive high-level language for music representation. Generates and embeds music scores and audio files in 'RStudio', 'R Markdown' documents, and R 'Jupyter Notebooks'. Internally, uses 'MusicXML' <https://github.com/w3c/musicxml> to represent music, and 'MuseScore' <https://musescore.org/> to convert 'MusicXML'.
Maintained by Renfei Mao. Last updated 8 months ago.
algorithmic-compositionmusic-programmingmusicxml
6.8 match 207 stars 8.06 score 35 scripts
schaubert
catdata:Categorical Data
This R-package contains examples from the book "Regression for Categorical Data", Tutz 2012, Cambridge University Press. The names of the examples refer to the chapter and the data set that is used.
Maintained by Gunther Schauberger. Last updated 1 years ago.
4.5 match 6.61 score 158 scripts 2 dependents
fmmattioni
whippr:Tools for Manipulating Gas Exchange Data
Set of tools for manipulating gas exchange data from cardiopulmonary exercise testing.
Maintained by Felipe Mattioni Maturana. Last updated 8 months ago.
5.0 match 12 stars 4.26 score 5 scripts
matt-dray
snorkel:RStudio Addin To Help Format 'roxygen2'
Insert, or replace text with, formatting code for 'roxygen2' function documentation in a package, like making text bold, inserting a URL, or linking to functions in other packages.
Maintained by Matt Dray. Last updated 3 years ago.
5.0 match 32 stars 3.20 score
ejikeugba
gofcat:Goodness-of-Fit Measures for Categorical Response Models
A post-estimation method for categorical response models (CRM). Inputs from objects of class serp(), clm(), polr(), multinom(), mlogit(), vglm() and glm() are currently supported. Available tests include the Hosmer-Lemeshow tests for the binary, multinomial and ordinal logistic regression; the Lipsitz and the Pulkstenis-Robinson tests for the ordinal models. The proportional odds, adjacent-category, and constrained continuation-ratio models are particularly supported at ordinal level. Tests for the proportional odds assumptions in ordinal models are also possible with the Brant and the Likelihood-Ratio tests. Moreover, several summary measures of predictive strength (Pseudo R-squared), and some useful error metrics, including, the brier score, misclassification rate and logloss are also available for the binary, multinomial and ordinal models. Ugba, E. R. and Gertheiss, J. (2018) <http://www.statmod.org/workshops_archive_proceedings_2018.html>.
Maintained by Ejike R. Ugba. Last updated 2 years ago.
brant-testbrier-scoreshosmer-lemeshow-testlikelihood-ratio-testlipsitz-testlog-loss-score-metriclogistic-regressionmisclassificationordinal-regressionproportional-odds-testpseudo-r2pulkstenis-robinson-test
4.5 match 2 stars 3.18 score 15 scripts
ropensci
spiro:Manage Data from Cardiopulmonary Exercise Testing
Import, process, summarize and visualize raw data from metabolic carts. See Robergs, Dwyer, and Astorino (2010) <doi:10.2165/11319670-000000000-00000> for more details on data processing.
Maintained by Simon Nolte. Last updated 25 days ago.
2.3 match 13 stars 6.35 score 43 scripts
bioc
ptairMS:Pre-processing PTR-TOF-MS Data
This package implements a suite of methods to preprocess data from PTR-TOF-MS instruments (HDF5 format) and generates the 'sample by features' table of peak intensities in addition to the sample and feature metadata (as a singl<e ExpressionSet object for subsequent statistical analysis). This package also permit usefull tools for cohorts management as analyzing data progressively, visualization tools and quality control. The steps include calibration, expiration detection, peak detection and quantification, feature alignment, missing value imputation and feature annotation. Applications to exhaled air and cell culture in headspace are described in the vignettes and examples. This package was used for data analysis of Gassin Delyle study on adults undergoing invasive mechanical ventilation in the intensive care unit due to severe COVID-19 or non-COVID-19 acute respiratory distress syndrome (ARDS), and permit to identfy four potentiel biomarquers of the infection.
Maintained by camille Roquencourt. Last updated 5 months ago.
softwaremassspectrometrypreprocessingmetabolomicspeakdetectionalignmentcpp
1.8 match 7 stars 5.15 score 3 scripts
tverbeke
SDaA:Sampling: Design and Analysis
Functions and Datasets from Lohr, S. (1999), Sampling: Design and Analysis, Duxbury.
Maintained by Tobias Verbeke. Last updated 3 years ago.
4.0 match 2.15 score 14 scripts
mlampros
fitbitViz:'Fitbit' Visualizations
Connection to the 'Fitbit' Web API <https://dev.fitbit.com/build/reference/web-api/> by including 'ggplot2' Visualizations, 'Leaflet' and 3-dimensional 'Rayshader' Maps. The 3-dimensional 'Rayshader' Map requires the installation of the 'CopernicusDEM' R package which includes the 30- and 90-meter elevation data.
Maintained by Lampros Mouselimis. Last updated 1 years ago.
blogdownfitbitfitbit-apigithub-actionsvisualization
1.6 match 9 stars 4.65 score 1 scriptsdmenne
breathteststan:Stan-Based Fit to Gastric Emptying Curves
Stan-based curve-fitting function for use with package 'breathtestcore' by the same author. Stan functions are refactored here for easier testing.
Maintained by Dieter Menne. Last updated 2 months ago.
bayesian-methodsfittingmedicalnonlinearstancpp
1.8 match 3 stars 4.18 score 9 scripts
kjetil1001
Fahrmeir:Data from the Book "Multivariate Statistical Modelling Based on Generalized Linear Models", First Edition, by Ludwig Fahrmeir and Gerhard Tutz
Data and functions for the book "Multivariate Statistical Modelling Based on Generalized Linear Models", first edition, by Ludwig Fahrmeir and Gerhard Tutz. Useful when using the book.
Maintained by Kjetil B Halvorsen. Last updated 9 years ago.
4.5 match 1.41 score 26 scripts
mabafaba
lifx:Control "LIFX" Smart Light Bulbs
Allows you to read and change the state of "LIFX" smart light bulbs Covers most "LIFX" API endpoints, including changing light color and brightness, selecting lights by ID, group or location as well as activating effects.
Maintained by Martin Barner. Last updated 5 years ago.
2.3 match 2.70 score 1 scripts
baddstats
scuba:Diving Calculations and Decompression Models
Code for describing and manipulating scuba diving profiles (depth-time curves) and decompression models, for calculating the predictions of decompression models, for calculating maximum no-decompression time and decompression tables, and for performing mixed gas calculations.
Maintained by Adrian Baddeley. Last updated 2 years ago.
1.8 match 5 stars 3.32 score 42 scripts
kjhealy
gssrdoc:Document General Social Survey Variable
The General Social Survey (GSS) is a long-running, mostly annual survey of US households. It is administered by the National Opinion Research Center (NORC). This package contains the a tibble with information on the survey variables, together with every variable documented as an R help page. For more information on the GSS see \url{http://gss.norc.org}.
Maintained by Kieran Healy. Last updated 11 months ago.
1.9 match 2.28 score 38 scripts
federicoviv
SIPETool:SIFT-MS and CPET Data Processor
Processor for selected ion flow tube mass spectrometer (SIFT-MS) output file from breath analysis. It allows the filtering of the SIFT output file (i.e., variation over time of the target analyte concentration) and the following analysis for the determination of: maximum, average, and standard deviation value of target concentration measured at each exhalation, and the respiratory rate over the measurement. Additionally, it is possible to align the SIFT-MS data with other on-line techniques such as cardio pulmonary exercise test (CPET) for a comprehensive characterization of breath samples.
Maintained by Federico Vivaldi. Last updated 2 years ago.
0.8 match 1 stars 1.00 score