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Evaluating solutions to the label-switching issue when estimating latent variable models with the NUTS algorithm
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Sep 21, 2024 - R
Estimate Realtime Case Counts and Time-varying Epidemiological Parameters
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Sep 20, 2024 - R
An R package and Bayesian generative model to estimate epidemiological parameters from wastewater concentration measurements over time.
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Sep 21, 2024 - R
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
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Sep 20, 2024 - R
coevolve R package for Bayesian dynamic coevolutionary models using Stan
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Sep 19, 2024 - R
{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for time series analysis and forecasting
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Sep 19, 2024 - R
R Package to Perform Clustering of Three-way Count Data Using Mixtures of Matrix Variate Poisson-log Normal Model With Parameter Estimation via MCMC-EM, Variational Gaussian Approximations, or a Hybrid Approach Combining Both.
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Sep 18, 2024 - R
Bayesian spatial analysis
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Sep 19, 2024 - R
R package for Bayesian analysis of single subject data using hierarchical ordinal models
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Sep 18, 2024 - R
A webapp featuring a large collection of detailed cheatsheets for Python and R. The name “actionsheets” comes from the way the sheets are structured: code snippets are indexed in terms of a desired action, and are grouped in sections.
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Sep 18, 2024 - Python
An in-development R package and a Bayesian hierarchical model jointly fitting multiple "local" wastewater data streams and "global" case count data to produce nowcasts and forecasts of both observations
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Sep 20, 2024 - R
Bayesian analysis + tidy data + geoms (R package)
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Sep 17, 2024 - R
Introduction to Probabilistic Programming
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Sep 17, 2024 - R
R package for approximate GP modeling of longitudinal data
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Sep 17, 2024 - R
Tools to enable flexible and efficient hierarchical nowcasting of epidemiological time-series using a semi-mechanistic Bayesian model with support for a range of reporting and generative processes.
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Sep 16, 2024 - R
Fit models to data from unmarked animals using Stan. Uses a similar interface to the R package 'unmarked', while providing the advantages of Bayesian inference and allowing estimation of random effects.
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Sep 16, 2024 - R
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