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PR statistics head office

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53 Morrison Street
Glasgow, Scotland G5 8LB United Kingdom
07966500340 www.prinformatics.com

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July 2019

Introduction to spatial analysis of ecological data using R (ISPE01)

29 July 2019 - 2 August 2019
PR statistics head office, 53 Morrison Street
Glasgow, Scotland G5 8LB United Kingdom

Course overview: The aim of the course is to introduce you to a spatial data processing, analysis, and visualization capabilities of the R programming language. It will teach a range of techniques using a mixture of lectures, computer exercises and case studies. By the end of the course participants should: Understand the basic concepts of spatial data analysis Know R’s spatial capabilities Understand how to import a range of spatial data sources into R Be confident with using R’s command-line…

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September 2019

R Package design and development and reproducible data science for biologists (RPKG01)

16 September 2019 - 20 September 2019
PR statistics head office, 53 Morrison Street
Glasgow, Scotland G5 8LB United Kingdom

Course overview: This course will help students develop professional R coding skills by leading them through the process of making reproducible, sharable and easily communicated software centered around developing fully functional R packages and extensions. In addition to teaching traditional uses of R packages to share quantitative tools, we’ll also show how R packages can be easily developed for individual research projects to share reproducible results. To develop skills, we’ll build several R packages full of useful and general utility…

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November 2019

Applied Bayesian modelling for ecologists and epidemiologists (ABME05)

11 November 2019 - 15 November 2019
PR statistics head office, 53 Morrison Street
Glasgow, Scotland G5 8LB United Kingdom

Course Overview: This application-driven course will provide a founding in the basic theory & practice of Bayesian statistics, with a focus on MCMC modeling for ecological & epidemiological problems. Starting from a refresher on probability & likelihood, the course will take students all the way to cutting-edge applications such as state-space population modelling & spatial point-process modelling. By the end of the week, you should have a basic understanding of how common MCMC samplers work and how to program them,…

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