Showing 16 of total 16 results (show query)
bluefoxr
COINr:Composite Indicator Construction and Analysis
A comprehensive high-level package, for composite indicator construction and analysis. It is a "development environment" for composite indicators and scoreboards, which includes utilities for construction (indicator selection, denomination, imputation, data treatment, normalisation, weighting and aggregation) and analysis (multivariate analysis, correlation plotting, short cuts for principal component analysis, global sensitivity analysis, and more). A composite indicator is completely encapsulated inside a single hierarchical list called a "coin". This allows a fast and efficient work flow, as well as making quick copies, testing methodological variations and making comparisons. It also includes many plotting options, both statistical (scatter plots, distribution plots) as well as for presenting results.
Maintained by William Becker. Last updated 2 months ago.
26 stars 8.94 score 73 scripts 1 dependentsbioc
iCOBRA:Comparison and Visualization of Ranking and Assignment Methods
This package provides functions for calculation and visualization of performance metrics for evaluation of ranking and binary classification (assignment) methods. Various types of performance plots can be generated programmatically. The package also contains a shiny application for interactive exploration of results.
Maintained by Charlotte Soneson. Last updated 3 months ago.
14 stars 8.86 score 192 scripts 1 dependentstgoodbody
sgsR:Structurally Guided Sampling
Structurally guided sampling (SGS) approaches for airborne laser scanning (ALS; LIDAR). Primary functions provide means to generate data-driven stratifications & methods for allocating samples. Intermediate functions for calculating and extracting important information about input covariates and samples are also included. Processing outcomes are intended to help forest and environmental management practitioners better optimize field sample placement as well as assess and augment existing sample networks in the context of data distributions and conditions. ALS data is the primary intended use case, however any rasterized remote sensing data can be used, enabling data-driven stratifications and sampling approaches.
Maintained by Tristan RH Goodbody. Last updated 30 days ago.
46 stars 7.50 score 34 scriptsmrc-ide
drjacoby:Flexible Markov Chain Monte Carlo via Reparameterization
drjacoby is an R package for performing Bayesian inference via Markov chain monte carlo (MCMC). In addition to being highly flexible it implements some advanced techniques that can improve mixing in tricky situations.
Maintained by Bob Verity. Last updated 9 months ago.
12 stars 6.27 score 77 scriptsarnaldpuy
sensobol:Computation of Variance-Based Sensitivity Indices
It allows to rapidly compute, bootstrap and plot up to fourth-order Sobol'-based sensitivity indices using several state-of-the-art first and total-order estimators. Sobol' indices can be computed either for models that yield a scalar as a model output or for systems of differential equations. The package also provides a suit of benchmark tests functions and several options to obtain publication-ready figures of the model output uncertainty and sensitivity-related analysis. An overview of the package can be found in Puy et al. (2022) <doi:10.18637/jss.v102.i05>.
Maintained by Arnald Puy. Last updated 1 years ago.
15 stars 5.57 score 50 scriptssimon-smart88
shinyscholar:A Template for Creating Reproducible 'shiny' Applications
Create a skeleton 'shiny' application with create_template() that is reproducible, can be saved and meets academic standards for attribution. Forked from 'wallace'. Code is split into modules that are loaded and linked together automatically and each call one function. Guidance pages explain modules to users and flexible logging informs them of any errors. Options enable asynchronous operations, viewing of source code, interactive maps and data tables. Use to create complex analytical applications, following best practices in open science and software development. Includes functions for automating repetitive development tasks and an example application at run_shinyscholar() that requires install.packages("shinyscholar", dependencies = TRUE). A guide to developing applications can be found on the package website.
Maintained by Simon E. H. Smart. Last updated 8 days ago.
22 stars 5.40 score 5 scriptsverasls
lvmisc:Veras Miscellaneous
Contains a collection of useful functions for basic data computation and manipulation, wrapper functions for generating 'ggplot2' graphics, including statistical model diagnostic plots, methods for computing statistical models quality measures (such as AIC, BIC, r squared, root mean squared error) and general utilities.
Maintained by Lucas Veras. Last updated 1 years ago.
6 stars 5.40 score 14 scripts 1 dependentsrcalinjageman
esci:Estimation Statistics with Confidence Intervals
A collection of functions and 'jamovi' module for the estimation approach to inferential statistics, the approach which emphasizes effect sizes, interval estimates, and meta-analysis. Nearly all functions are based on 'statpsych' and 'metafor'. This package is still under active development, and breaking changes are likely, especially with the plot and hypothesis test functions. Data sets are included for all examples from Cumming & Calin-Jageman (2024) <ISBN:9780367531508>.
Maintained by Robert Calin-Jageman. Last updated 1 months ago.
jamovijaspsciencestatisticsvisualization
24 stars 5.24 score 12 scriptsmengxu98
inferCSN:Inferring Cell-Specific Gene Regulatory Network
An R package for inferring cell-type specific gene regulatory network from single-cell RNA data.
Maintained by Meng Xu. Last updated 1 days ago.
3 stars 4.80 score 6 scriptsrmi-pacta
pacta.executive.summary:Creates Plots for the PACTA COP Executive Summary
This package contains plotting functions and a template for generating the executive summary that displays aggregated results of a PACTA COP exercise.
Maintained by Monika Furdyna. Last updated 5 months ago.
climate-changesustainable-finance
2 stars 4.70 score 3 scripts 1 dependentsrichardgeveritt
ggsmc:Visualising Output from Sequential Monte Carlo and Ensemble-Based Methods
Functions for plotting, and animating, the output of importance samplers, sequential Monte Carlo samplers (SMC) and ensemble-based methods. The package can be used to plot and animate histograms, densities, scatter plots and time series, and to plot the genealogy of an SMC or ensemble-based algorithm. These functions all rely on algorithm output to be supplied in tidy format. A function is provided to transform algorithm output from matrix format (one Monte Carlo point per row) to the tidy format required by the plotting and animating functions.
Maintained by Richard G Everitt. Last updated 2 months ago.
4.48 score 6 scriptspedroliman
arena2r:Plots, Summary Statistics and Tools for Arena Simulation Users
Reads Arena <https://www.arenasimulation.com/> CSV output files and generates nice tables and plots. The package contains a 'Shiny' App that can be used to interactively visualize Arena's results.
Maintained by Pedro Nascimento de Lima. Last updated 6 years ago.
4.02 score 21 scriptssongyanyu
dycdtools:Calibration Assistant and Post-Processing Tool for Aquatic Ecosystem Model DYRESM-CAEDYM
Dynamic Reservoir Simulation Model (DYRESM) and Computational Aquatic Ecosystem Dynamics Model (CAEDYM) model development, including assisting with calibrating selected model parameters and visualising model output through time series plot, profile plot, contour plot, and scatter plot. For more details, see Yu et al. (2023) <https://journal.r-project.org/articles/RJ-2023-008/>.
Maintained by Songyan Yu. Last updated 6 months ago.
1 stars 3.18 score 9 scriptsmdingemanse
talkr:Plotting Conversation Data
Visualisation, analysis and quality control of conversational data. Rapid and visual insights into the nature, timing and quality of time-aligned annotations in conversational corpora. For more details, see Dingemanse et al., (2022) <doi:10.18653/v1/2022.acl-long.385>.
Maintained by Mark Dingemanse. Last updated 4 months ago.
2.70 score 7 scriptsjoe-chelladurai
starry:Explore Data with Plots and Tables
Provides modular functions and applications for quickly generating plots and tables. Each modular function opens a graphical user interface providing the user with options to create and customise plots and tables.
Maintained by Joe Chelladurai. Last updated 2 years ago.
1 stars 2.70 score 1 scripts