Showing 27 of total 27 results (show query)
kwb-r
kwb.resilience:R Package for the Quantification of Technical Resilience
kwb.resilience allows quantification of a number of resilience indicators. Calculation requires a time series of performance values of a technical system, as well as values for acceptable and worst case performance.
Maintained by Andreas Matzinger. Last updated 5 years ago.
project-fakinproject-networks4resilience
73.8 match 3.30 score 1 scripts
rvaradhan
resilience:Predictors of Resilience to a Stressor in a Single-Arm Study
Studies of resilience in older adults employ a single-arm design where everyone experiences the stressor. The simplistic approach of regressing change versus baseline yields biased estimates due to regression-to-the-mean. This package provides a method to correct the bias. It also allows covariates to be included. The method implemented in the package is described in Varadhan, R., Zhu, J., and Bandeen-Roche, K (2023), Biostatistics (To appear).
Maintained by Ravi Varadhan. Last updated 7 months ago.
56.7 match 1.30 score 3 scripts
nr3xe
arse:Area of Resilience to Stress Event
A method for quantifying resilience after a stress event. A set of functions calculate the area of resilience that is created by the departure of baseline 'y' (i.e., robustness) and the time taken 'x' to return to baseline (i.e., rapidity) after a stress event using the Cartesian coordinates of the data. This package has the capability to calculate areas of resilience, growth, and cases in which resilience is not achieved (e.g., diminished performance without return to baseline).
Maintained by Nathaniel Ratcliff. Last updated 6 years ago.
14.5 match 3.70 score 2 scripts
mspinillos
ecoregime:Analysis of Ecological Dynamic Regimes
A toolbox for implementing the Ecological Dynamic Regime framework (Sánchez-Pinillos et al., 2023 <doi:10.1002/ecm.1589>) to characterize and compare groups of ecological trajectories in multidimensional spaces defined by state variables. The package includes the RETRA-EDR algorithm to identify representative trajectories, functions to generate, summarize, and visualize representative trajectories, and several metrics to quantify the distribution and heterogeneity of trajectories in an ecological dynamic regime and quantify the dissimilarity between two or more ecological dynamic regimes. The package also includes a set of functions to assess ecological resilience based on ecological dynamic regimes (Sánchez-Pinillos et al., 2024 <doi:10.1016/j.biocon.2023.110409>).
Maintained by Martina Sánchez-Pinillos. Last updated 11 months ago.
7.1 match 7 stars 5.32 score 8 scripts
donaldrwilliams
BGGM:Bayesian Gaussian Graphical Models
Fit Bayesian Gaussian graphical models. The methods are separated into two Bayesian approaches for inference: hypothesis testing and estimation. There are extensions for confirmatory hypothesis testing, comparing Gaussian graphical models, and node wise predictability. These methods were recently introduced in the Gaussian graphical model literature, including Williams (2019) <doi:10.31234/osf.io/x8dpr>, Williams and Mulder (2019) <doi:10.31234/osf.io/ypxd8>, Williams, Rast, Pericchi, and Mulder (2019) <doi:10.31234/osf.io/yt386>.
Maintained by Philippe Rast. Last updated 3 months ago.
bayes-factorsbayesian-hypothesis-testinggaussian-graphical-modelsopenblascppopenmp
3.6 match 55 stars 9.64 score 102 scripts 1 dependents
mlverse
torch:Tensors and Neural Networks with 'GPU' Acceleration
Provides functionality to define and train neural networks similar to 'PyTorch' by Paszke et al (2019) <doi:10.48550/arXiv.1912.01703> but written entirely in R using the 'libtorch' library. Also supports low-level tensor operations and 'GPU' acceleration.
Maintained by Daniel Falbel. Last updated 7 days ago.
1.9 match 520 stars 16.52 score 1.4k scripts 38 dependents
paws-r
paws:Amazon Web Services Software Development Kit
Interface to Amazon Web Services <https://aws.amazon.com>, including storage, database, and compute services, such as 'Simple Storage Service' ('S3'), 'DynamoDB' 'NoSQL' database, and 'Lambda' functions-as-a-service.
Maintained by Dyfan Jones. Last updated 4 days ago.
2.0 match 332 stars 11.25 score 177 scripts 12 dependents
cran
pointRes:Analyzing Pointer Years and Components of Resilience
Functions to calculate and plot event and pointer years as well as resilience indices. Designed for dendroecological applications, but also suitable to analyze patterns in other ecological time series.
Maintained by Marieke van der Maaten-Theunissen. Last updated 2 years ago.
8.9 match 1 stars 2.53 score 17 scripts
manueleleonelli
bnRep:A Repository of Bayesian Networks from the Academic Literature
A collection of Bayesian networks (discrete, Gaussian, and conditional linear Gaussian) collated from recent academic literature. The 'bnRep_summary' object provides an overview of the Bayesian networks in the repository and the package documentation includes details about the variables in each network. A Shiny app to explore the repository can be launched with 'bnRep_app()' and is available online at <https://manueleleonelli.shinyapps.io/bnRep>. For details see <https://github.com/manueleleonelli/bnRep>.
Maintained by Manuele Leonelli. Last updated 6 months ago.
4.0 match 5 stars 5.10 score 7 scriptspaws-r
paws.management:'Amazon Web Services' Management & Governance Services
Interface to 'Amazon Web Services' management and governance services, including 'CloudWatch' application and infrastructure monitoring, 'Auto Scaling' for automatically scaling resources, and more <https://aws.amazon.com/>.
Maintained by Dyfan Jones. Last updated 4 days ago.
2.0 match 332 stars 9.09 score 1 scripts 15 dependents
shikokuchuo
mirai:Minimalist Async Evaluation Framework for R
Designed for simplicity, a 'mirai' evaluates an R expression asynchronously in a parallel process, locally or distributed over the network. The result is automatically available upon completion. Modern networking and concurrency, built on 'nanonext' and 'NNG' (Nanomsg Next Gen), ensures reliable and efficient scheduling over fast inter-process communications or TCP/IP secured by TLS. Distributed computing can launch remote resources via SSH or cluster managers. An inherently queued architecture handles many more tasks than available processes, and requires no storage on the file system. Innovative features include support for otherwise non-exportable reference objects, event-driven promises, and asynchronous parallel map.
Maintained by Charlie Gao. Last updated 3 days ago.
asyncasynchronous-tasksconcurrencydistributed-computinghigh-performance-computingparallel-computing
1.3 match 217 stars 11.94 score 130 scripts 7 dependentsdonaldrwilliams
GGMnonreg:Non-Regularized Gaussian Graphical Models
Estimate non-regularized Gaussian graphical models, Ising models, and mixed graphical models. The current methods consist of multiple regression, a non-parametric bootstrap <doi:10.1080/00273171.2019.1575716>, and Fisher z transformed partial correlations <doi:10.1111/bmsp.12173>. Parameter uncertainty, predictability, and network replicability <doi:10.31234/osf.io/fb4sa> are also implemented.
Maintained by Donald Williams. Last updated 3 years ago.
3.6 match 6 stars 3.48 score 4 scripts
critical-infrastructure-systems-lab
reservoir:Tools for Analysis, Design, and Operation of Water Supply Storages
Measure single-storage water supply system performance using resilience, reliability, and vulnerability metrics; assess storage-yield- reliability relationships; determine no-fail storage with sequent peak analysis; optimize release decisions for water supply, hydropower, and multi-objective reservoirs using deterministic and stochastic dynamic programming; generate inflow replicates using parametric and non-parametric models; evaluate inflow persistence using the Hurst coefficient.
Maintained by Sean Turner. Last updated 4 years ago.
hydrologyreservoirsimulationwater-resources
2.2 match 28 stars 4.00 score 18 scripts
mrc-ide
rrq:Simple Redis Queue
Simple Redis queue in R.
Maintained by Rich FitzJohn. Last updated 4 months ago.
1.2 match 24 stars 7.40 score 14 scripts 3 dependents
humaniverse
wildfires:Mapping Risk and Resilience to wildfires in the UK
Build an social vulnerability index using PCA and identify areas of high wildfire risk and high social vulnerability.
Maintained by Matteo Larrode. Last updated 7 months ago.
3.0 match 1 stars 2.95 score
gnelson12
fishmethods:Fishery Science Methods and Models
Functions for applying a wide range of fisheries stock assessment methods.
Maintained by Gary A. Nelson. Last updated 1 months ago.
1.9 match 5 stars 4.12 score 136 scripts 1 dependents
adamtclark
ecostatscale:Statistical Scaling Functions for Ecological Systems
Implementation of the scaling functions presented in "General statistical scaling laws for stability in ecological systems" by Clark et al in Ecology Letters <DOI:10.1111/ele.13760>. Includes functions for extrapolating variability, resistance, and resilience across spatial and ecological scales, as well as a basic simulation function for producing time series, and a regression routine for generating unbiased parameter estimates. See the main text of the paper for more details.
Maintained by Adam Clark. Last updated 1 years ago.
2.5 match 3 stars 2.48 score
bips-hb
neuralnet:Training of Neural Networks
Training of neural networks using backpropagation, resilient backpropagation with (Riedmiller, 1994) or without weight backtracking (Riedmiller and Braun, 1993) or the modified globally convergent version by Anastasiadis et al. (2005). The package allows flexible settings through custom-choice of error and activation function. Furthermore, the calculation of generalized weights (Intrator O & Intrator N, 1993) is implemented.
Maintained by Marvin N. Wright. Last updated 4 years ago.
0.5 match 32 stars 10.73 score 2.9k scripts 38 dependents
heli-xu
findSVI:Calculate Social Vulnerability Index for Communities
Developed by CDC/ATSDR (Centers for Disease Control and Prevention/ Agency for Toxic Substances and Disease Registry), Social Vulnerability Index (SVI) serves as a tool to assess the resilience of communities by taking into account socioeconomic and demographic factors. Provided with year(s), region(s) and a geographic level of interest, 'findSVI' retrieves required variables from US census data and calculates SVI for communities in the specified area based on CDC/ATSDR SVI documentation. Reference for the calculation methods: Flanagan BE, Gregory EW, Hallisey EJ, Heitgerd JL, Lewis B (2011) <doi:10.2202/1547-7355.1792>.
Maintained by Heli Xu. Last updated 1 months ago.
0.5 match 12 stars 5.68 score 16 scripts
duncanobrien
EWSmethods:Forecasting Tipping Points at the Community Level
Rolling and expanding window approaches to assessing abundance based early warning signals, non-equilibrium resilience measures, and machine learning. See Dakos et al. (2012) <doi:10.1371/journal.pone.0041010>, Deb et al. (2022) <doi:10.1098/rsos.211475>, Drake and Griffen (2010) <doi:10.1038/nature09389>, Ushio et al. (2018) <doi:10.1038/nature25504> and Weinans et al. (2021) <doi:10.1038/s41598-021-87839-y> for methodological details. Graphical presentation of the outputs are also provided for clear and publishable figures. Visit the 'EWSmethods' website for more information, and tutorials.
Maintained by Duncan OBrien. Last updated 7 months ago.
0.5 match 8 stars 5.51 score 20 scripts
matteo21q
dani:Design and Analysis of Non-Inferiority Trials
Provides tools to help with the design and analysis of non-inferiority trials. These include functions for doing sample size calculations and for analysing non-inferiority trials, using a variety of outcome types and population-level sumamry measures. It also features functions to make trials more resilient by using the concept of non-inferiority frontiers, as described in Quartagno et al. (2019) <arXiv:1905.00241>. Finally it includes function to design and analyse MAMS-ROCI (aka DURATIONS) trials.
Maintained by Matteo Quartagno. Last updated 7 months ago.
0.5 match 2 stars 5.33 score 27 scripts
alexcannon
CaDENCE:Conditional Density Estimation Network Construction and Evaluation
Parameters of a user-specified probability distribution are modelled by a multi-layer perceptron artificial neural network. This framework can be used to implement probabilistic nonlinear models including mixture density networks, heteroscedastic regression models, zero-inflated models, etc. following Cannon (2012) <doi:10.1016/j.cageo.2011.08.023>.
Maintained by Alex J. Cannon. Last updated 7 years ago.
1.8 match 1.45 score 28 scripts
han-siyu
TIGERr:Technical Variation Elimination with Ensemble Learning Architecture
The R implementation of TIGER. TIGER integrates random forest algorithm into an innovative ensemble learning architecture. Benefiting from this advanced architecture, TIGER is resilient to outliers, free from model tuning and less likely to be affected by specific hyperparameters. TIGER supports targeted and untargeted metabolomics data and is competent to perform both intra- and inter-batch technical variation removal. TIGER can also be used for cross-kit adjustment to ensure data obtained from different analytical assays can be effectively combined and compared. Reference: Han S. et al. (2022) <doi:10.1093/bib/bbab535>.
Maintained by Siyu Han. Last updated 5 months ago.
0.5 match 6 stars 3.48 score 1 scripts
brancaccioandrea
mycaas:My Computerized Adaptive Assessment
Implementation of adaptive assessment procedures based on Knowledge Space Theory (KST) and Formal Psychological Assessment (FPA) frameworks. An adaptive assessment is a type of evaluation that adjusts the difficulty and nature of subsequent questions based on the test-taker's responses to previous ones. The package contains functions to perform and simulate an adaptive assessment. Moreover, it is integrated with two 'Shiny' interfaces, making it both accessible and user-friendly. The package has been funded by the European Union - NextGenerationEU and by the Ministry of University and Research (MUR), National Recovery and Resilience Plan (NRRP), Mission 4, Component 2, Investment 1.5, project “RAISE - Robotics and AI for Socio-economic Empowerment” (ECS00000035).
Maintained by Andrea Brancaccio. Last updated 6 months ago.
0.5 match 2.30 score
sergelhomme
NetSwan:Network Strengths and Weaknesses Analysis
A set of functions for studying network robustness, resilience and vulnerability.
Maintained by Serge Lhomme. Last updated 9 years ago.
0.6 match 1.85 score