andrewzm Goto Github PK

2014-10-09-compspde-niasra

afgwardiary

Replication code for the AWD paper (PNAS)

amortised_neural_inference_review

Source code for reproducing the results in the ARSIA paper "Neural Methods for Amortised Statistical Inference"

assimilation_methods

A brainstorm on assimilation methods

atminv

Supplement package for papers on atmospheric trace-gas inversion by Zammit-Mangion et al.

bicon

Bivariate modelling using the conditional approach

bold_kidney

Sample code for the KI paper

dataframeconstr

R package with classes for data frames with column constraints, and lists requiring all elements to have the same class.

deepide

Deep IDE Models for Spatio-Temporal Forecasting

deepspat

Deep Compositional Spatial Models

deepspat-website

Website with information on work done on the DECRA award "Deep space-time models for modelling complex environmental phenomena" DE180100203

devtools

Tools to make an R developer's life easier

dggrids

Discrete Global Grids in data frame format for use in R (and Fixed Rank Kriging in particular)

dggrids-repo

efdr

Enhanced False Discovery Rate

frk

Fixed Rank Kriging with big data

hmc

Hamiltonian Monte Carlo sampler

ide

Integro-difference equation spatio-temporal modelling

inla

Copy of INLA repo for Travis CI

knitr

A general-purpose tool for dynamic report generation in R

linalg

Yet another sparse linear algebraic routines package for R, with functions tailored for spatio-temporal modelling and inference with Gaussian Markov Random Fields.

medalplot

An R-Software package for visualising uncertainty in large-scale Gaussian systems

mvst

An R-Software package for multi-variate spatio-temporal modelling

oco2-frk

Reproducible code for Remote Sensing article

rates

sbnn

Repository for reproducing results in paper "Spatial Bayesian Neural Networks"

sparseinv

Creates a wrapper for the SuiteSparse routines in C that us the Takahashi equations to compute the elements of the inverse of a sparse matrix at locations where the (permuted) Cholesky factor is non-zero. The resulting matrix is known as a sparse inverse subset. Some helper functions (like the permuted Cholesky factorisation) are also implemented. Support for spam matrices is currently limited and will be implemented in the future.

spatialmultiscale

Reproducible code for the paper "Multi-Scale Process Modelling and Distributed Computation for Spatial Data"

spherepp

Code for reproducing the application case study of the paper "Spherical Poisson Point Process Intensity Function Modeling and Estimation with Measure Transport" by James Ng and Andrew Zammit-Mangion

strbook

Supplementary package for "Spatio-Temporal Statistics with R" by C.K. Wikle, A. Zammit-Mangion, and N. Cressie