Visualizations of distributions and uncertainty
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Updated
May 16, 2024 - R
Visualizations of distributions and uncertainty
Uncertainty Propagation for R Vectors
Survival analysis in health economic evaluation Contains a suite of functions to systematise the workflow involving survival analysis in health economic evaluation. survHE can fit a large range of survival models using both a frequentist approach (by calling the R package flexsurv) and a Bayesian perspective.
An R package to accompany the new book 'Using R for Modelling and Quantitative Methods in Fisheries'
Threshold Selection and Uncertainty for Extreme Value Analysis
Gaussian mixture modelling - Unsupervised learning
This repository provides the workshop materials for latent variable models applied to data on wartime sexual violence. This workshop was previously taught at Ashoka University (2018) and Michigan State University (2019).
Survival analysis in health economic evaluation using Bayesian modelling though Integrated Nested Laplace Approximation. Contains a suite of functions to systematise the workflow involving survival analysis in health economic evaluation.
This repository provides the Online Appendix, replication data and materials for Krüger & Nordås, A latent variable approach to measuring wartime sexual violence, in Journal of Peace Research
Set of R functions designed to perform and report uncertainty propagation
A collaborative project between the Center of Research and Development in Geographic Information (CIAF) and The Geographic Institute Agustín Codazzi (IGAC), both divisions at the Geographic Institute Agustín Codazzi (IGAC)
An R user interface to BaM
Research project: Measuring inflation uncertainty
Repository accompanying the MSBBSS and EMOS master thesis 2021: Tackling uncertainty in the spatial density estimation from Mobile Network Operator data
Research project: The Impact of Uncertainty on Monetary Transmission - Evidence from the US
Simulation Uncertainty Quantification Querying
prediction of sedigraphs and hydrographs from other predictors using RF / QRF
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