Showing 200 of total 456 results (show query)

loukiaspin

rnmamod:Bayesian Network Meta-Analysis with Missing Participants

A comprehensive suite of functions to perform and visualise pairwise and network meta-analysis with aggregate binary or continuous missing participant outcome data. The package covers core Bayesian one-stage models implemented in a systematic review with multiple interventions, including fixed-effect and random-effects network meta-analysis, meta-regression, evaluation of the consistency assumption via the node-splitting approach and the unrelated mean effects model (original and revised model proposed by Spineli, (2022) <doi:10.1177/0272989X211068005>), and sensitivity analysis (see Spineli et al., (2021) <doi:10.1186/s12916-021-02195-y>). Missing participant outcome data are addressed in all models of the package (see Spineli, (2019) <doi:10.1186/s12874-019-0731-y>, Spineli et al., (2019) <doi:10.1002/sim.8207>, Spineli, (2019) <doi:10.1016/j.jclinepi.2018.09.002>, and Spineli et al., (2021) <doi:10.1002/jrsm.1478>). The robustness to primary analysis results can also be investigated using a novel intuitive index (see Spineli et al., (2021) <doi:10.1177/0962280220983544>). Methods to evaluate the transitivity assumption quantitatively are provided (see Spineli, (2024) <doi:10.1186/s12874-024-02436-7>). A novel index to facilitate interpretation of local inconsistency is also available (see Spineli, (2024) <doi:0.1186/s13643-024-02680-4>) The package also offers a rich, user-friendly visualisation toolkit that aids in appraising and interpreting the results thoroughly and preparing the manuscript for journal submission. The visualisation tools comprise the network plot, forest plots, panel of diagnostic plots, heatmaps on the extent of missing participant outcome data in the network, league heatmaps on estimation and prediction, rankograms, Bland-Altman plot, leverage plot, deviance scatterplot, heatmap of robustness, barplot of Kullback-Leibler divergence, heatmap of comparison dissimilarities and dendrogram of comparison clustering. The package also allows the user to export the results to an Excel file at the working directory.

Maintained by Loukia Spineli. Last updated 9 days ago.

jagscpp

12.3 match 5 stars 6.64 score 12 scripts

bioc

RBGL:An interface to the BOOST graph library

A fairly extensive and comprehensive interface to the graph algorithms contained in the BOOST library.

Maintained by Bioconductor Package Maintainer. Last updated 4 months ago.

graphandnetworknetworkcpp

8.9 match 8.59 score 320 scripts 132 dependents

mu-sigma

HVT:Constructing Hierarchical Voronoi Tessellations and Overlay Heatmaps for Data Analysis

Facilitates building topology preserving maps for data analysis.

Maintained by "Mu Sigma, Inc.". Last updated 1 months ago.

7.5 match 4 stars 6.26 score 1 scripts

oscarperpinan

solaR:Radiation and Photovoltaic Systems

Calculation methods of solar radiation and performance of photovoltaic systems from daily and intradaily irradiation data sources.

Maintained by Oscar Perpiñán Lamigueiro. Last updated 25 days ago.

7.0 match 38 stars 5.32 score 55 scripts

mcandocia

keyToEnglish:Convert Data to Memorable Phrases

Convert keys and other values to memorable phrases. Includes some methods to build lists of words.

Maintained by Max Candocia. Last updated 4 years ago.

11.3 match 1 stars 2.70 score 3 scripts

loelschlaeger

oeli:Utilities for Developing Data Science Software

Some general helper functions that I (and maybe others) find useful when developing data science software.

Maintained by Lennart Oelschläger. Last updated 4 months ago.

openblascpp

3.8 match 2 stars 5.42 score 1 scripts 4 dependents

globalecologylab

poems:Pattern-Oriented Ensemble Modeling System

A framework of interoperable R6 classes (Chang, 2020, <https://CRAN.R-project.org/package=R6>) for building ensembles of viable models via the pattern-oriented modeling (POM) approach (Grimm et al.,2005, <doi:10.1126/science.1116681>). The package includes classes for encapsulating and generating model parameters, and managing the POM workflow. The workflow includes: model setup; generating model parameters via Latin hyper-cube sampling (Iman & Conover, 1980, <doi:10.1080/03610928008827996>); running multiple sampled model simulations; collating summary results; and validating and selecting an ensemble of models that best match known patterns. By default, model validation and selection utilizes an approximate Bayesian computation (ABC) approach (Beaumont et al., 2002, <doi:10.1093/genetics/162.4.2025>), although alternative user-defined functionality could be employed. The package includes a spatially explicit demographic population model simulation engine, which incorporates default functionality for density dependence, correlated environmental stochasticity, stage-based transitions, and distance-based dispersal. The user may customize the simulator by defining functionality for translocations, harvesting, mortality, and other processes, as well as defining the sequence order for the simulator processes. The framework could also be adapted for use with other model simulators by utilizing its extendable (inheritable) base classes.

Maintained by July Pilowsky. Last updated 20 days ago.

biogeographypopulation-modelprocess-based

2.3 match 10 stars 8.05 score 59 scripts 2 dependents

juba

scatterD3:D3 JavaScript Scatterplot from R

Creates 'D3' 'JavaScript' scatterplots from 'R' with interactive features : panning, zooming, tooltips, etc.

Maintained by Julien Barnier. Last updated 7 months ago.

d3d3jshtmlwidgetsshiny

2.0 match 160 stars 8.98 score 125 scripts 4 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.

4.0 match 12 stars 4.26 score 5 scripts