Category: Rstat

More Flexible Ordinal Outcome Models

In the previous post (, we’ve shown alternative models for ordinal outcomes in addition to commonly used Cumulative Logit models under the proportional odds assumption, which are also known as...continue reading.

Linear programming in R

Linear programming is a technique to solve optimization problems whose constraints and outcome are represented by linear relationships.Simply put, linear programming allows to solve problems of the following kind:Maximize/minimize $\hat...continue reading.

PCA revisited

Principal component analysis (PCA) is a dimensionality reduction technique which might come handy when building a predictive model or in the exploratory phase of your data analysis. It is often...continue reading.

The Hawkes Hand

Thanks to @LukeBornn & Tim Swartz, I had the opportunity to present the #HawkesHand🔥🏀at #CASSIS18 . I learned a lot, had a hell of a time & met some great...continue reading.

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