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theft
R package for Tools for Handling Extraction of Features from Time series (theft)GAM.jl
Fit, evaluate, and visualise generalised additive models (GAMs) in native JuliaPosteriorPlots.jl
Graphical tools for Bayesian inference and posterior predictive checks.feature-set-comp
Compares various time-series feature sets on computational performance, within-set structure, and between-set relationships.correctR
R package for computing corrected test statistics for comparing machine learning models on correlated samplesQuasiGLM.jl
Adjust Poisson and Binomial Generalised Linear Models to their quasi equivalents for dispersed datatheft-webtool
Builds an R Shiny web application for interactive exploration of time-series features.correctipy
Python package for computing corrected test statistics for comparing machine learning models on correlated samplesbayes-workflow-pres
Code and slides for my talk on basic principles of a Bayesian workflow across datasets.feature-set-classification
Compares various time-series feature sets on a set of classification tasks.tsCeatures
R package to compute some C++ coded time-series features for efficiency and scalability.influenza-impact
Builds a Bayesian model to test the causal impact of COVID-19 on influenza in Australia.CNS-2022-theft
Holds source code and slides for my presentation on the theft R package at CNS 2022catchEmAll
R package to automatically and efficiently calculate CAnonical Time series CHaracteristics (catch) from reduced-redundancy feature sets.crit-role-webtool
Builds an R Shiny web application for Critical Role data.TimeSeriesSimulation.jl
Functions for simulating numerous types of dynamical systems and time-series processes.critical-role
Builds statistical data visualisation and modelling for Critical Role dataphd-coursework
Holds source code for all coursework in my PhD.hotteR
R package for webscraping, statistical analysis, and data visualisation of the Triple J Hottest 100 Countdown and related data.mean-var-ts-classify
Holds analysis for working paper on simple feature set performance on time-series classification problemstheftdlc
Analyse and interpret time-series features calculated from the theft R packageLove Open Source and this site? Check out how you can help us