/explore
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www.huber.embl.de | ||
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andrewpwheeler.com
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| | | | | For my advanced research design course this semester I have been providing code snippets in Stata and R. This is the first time I've really sat down and programmed extensively in Stata, and this is a followup to produce some of the same plots and model fit statistics for group based trajectory statistics as this... | |
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freerangestats.info
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| | | | | I look at some unusual data where the median was higher than the mode, and show how to model it in Stan as a mixture of two negative binomial distributions. | |
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dm13450.github.io
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| | | | | In my previous article I showed how you can use the dirichletprocess package for non-parametric density estimation. This time I will demonstrate how you can use the package to create your own mixture models. The ease of creating your own mixture models is the main advantage of our dirichletprocess package compared to the others out there. By using the S3 class system in R, you can easily build your own Dirichlet process mixture of what ever distribution you want. | |
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reindernijhoff.net
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| | | Just a repost of one of my first shaders on Shadertoy. This is a simple realtime path tracer, implemented in a WebGL fragment shader. The shader shows motion blur, depth of field and importance sampling. The path tracer is based | ||
