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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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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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October 2019

Geometric morphometrics using (Geomorph) R (GMMR02)

14 October 2019 - 18 October 2019
PR statistics head office, 53 Morrison Street
Glasgow, Scotland G5 8LB United Kingdom

Course Overview: The field of geometric morphometrics (GM) is concerned with the quantification and analysis of patterns of shape variation, and its covariation with other variables. Over the past several decades these approaches have become a mainstay in the field of ecology, evolutionary biology, and anthropology, and a panoply of analytical tools for addressing specific biological hypotheses concerning shape have been developed. The goal of this is to provide participants with a working knowledge of the theory of geometric morphometrics,…

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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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