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efficientR
Efficient R programming: a bookpoweRlaw
This package implements both the discrete and continuous maximum likelihood estimators for fitting the power-law distribution to data. Additionally, a goodness-of-fit based approach is used to estimate the lower cutoff for the scaling region.rprofile
My .Rprofile set-upefficient
The associated R package for Efficient R programmingbenchmarkme
Crowd sourced benchmarkingroxygen2Comment
An Rstudio addin for adding and remove roygen2 commenttravis-examples
addinmanager
RStudio addin management made easyrtypeform
An R interface to the 'typeform' API.bmc-microarray
This repo contains the knitr code for the paper: Gillespie, C. S., et al, 2010. Analysing yeast time course microarray data using BioConductor: a case study using yeast2 Affymetrix arrays BMC Research Notes, 3:81.statslang
Slides and code for http://www.statslife.org.uk/events/events-calendar/eventdetail/284/-/statistical-computing-languagesraddins
A collection of RStudio addinsrenamer
In-silico-Systems-Biology
The latex and R code used the in stochastic simulation book chapter in "In silico Systems Biology: A systems-based approach to understanding biological processes".dratTravis
benchmarkme-data
R package containing data from past benchmarkstalks
A list of recent talksplmcmc
minifyHTML
A binding the Javascript-based HTML compressor/minifierillumina-analysis
This repository contains the knitr/latex source, graphics and R code used in book chapter in Cockell, S, Bashton, M, Gillespie, CS. Bioconductor tools for microarray data analysis. In: Microarray Image and Data Analysis: Theory and Practice. CRC Press.hybrid-pmcmc
riemann-manifold
expt_design
Code for Efficient construction of Bayes optimal designs for stochastic process models.dotfiles
My dotfilesplbayes
Code and data from the paper Estimating the number of casualties in the American Indian war: a Bayesian analysis using the power law distributionabcpmcmc
githubactions
My github actions playground. Will be deletedLove Open Source and this site? Check out how you can help us