LuZhangstat / NNGP_STAN
Nearest Neighbor Gaussian Processes (NNGP) based models is a family of highly scalable Gaussian processes based models. In brief, NNGP extends the Vecchia's approximation to a process using conditional independence given information from neighboring locations. In this case study, I will briefly review response and random-effects NNGP models, ill…
☆15Updated 4 years ago
Related projects: ⓘ
- Tools for automatically generating local sensitivity measures in Stan.☆35Updated 3 years ago
- Gaussian process modeling in R☆16Updated last year
- Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree…☆38Updated 2 weeks ago
- Fit stochastic differential equation models with time-varying parameters☆15Updated 3 months ago
- Tools for basic signal processing in epidemiology☆13Updated last week
- Describes a method for monitoring MCMC convergence using ML☆8Updated 3 years ago
- Bayesian spatio-temporal methods for small-area estimation of HIV indicators (PhD, Imperial College London, 2023)☆13Updated 2 weeks ago
- HMC and other derivative-based MCMC sampling algorithms for the nimble package☆12Updated 3 weeks ago
- Examples from McElreath's Statistical Rethinking, First edition coded in Stan.☆49Updated 5 years ago
- R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for in…☆25Updated last week
- Conditional autoregressive models in Stan☆32Updated last year
- Meshed GP for Bayesian spatial big data regression☆13Updated last month
- Examples on INLA within MCMC☆11Updated 7 years ago
- R implementation of VCBART☆19Updated 4 months ago
- ☆54Updated 2 years ago
- Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.☆49Updated 3 months ago
- homework problems from the 2nd edition of Statistical Rethinking by Richard McElreath worked in R-INLA☆24Updated 3 years ago
- An R package and Bayesian generative model to estimate epidemiological parameters from wastewater concentration measurements over time.☆13Updated this week
- Bayesian DFA with Stan☆28Updated 6 months ago
- Material for my proposed StanCon talk☆20Updated 3 years ago
- Notebooks and data for StanCon2023 tutorial on BRMS☆16Updated last year
- ☆8Updated 3 years ago
- ☆10Updated 7 months ago
- Additive quantile regression R package☆30Updated 2 weeks ago
- Repo for code for "Unrepresentative Surveys Significantly Overestimate Vaccine Uptake in the US"☆12Updated 2 years ago
- ☆17Updated 3 years ago
- R Package for individual based epidemiological models☆30Updated 2 weeks ago
- Course materials for WILD6900: Applied Bayesian Analysis for Ecological Data☆14Updated 7 months ago
- This is a read-only mirror of the CRAN R package repository. mgcv — Mixed GAM Computation Vehicle with Automatic Smoothness Estimation …☆29Updated 8 months ago
- Spatial capture-recapture models in Stan☆22Updated 4 years ago