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theft
R package for Tools for Handling Extraction of Features from Time series (theft)Rcatch22
R package for calculation of 22 CAnonical Time-series CHaracteristicsPosteriorPlots.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