Category: Rstat

More Flexible Ordinal Outcome Models

In the previous post (https://statcompute.wordpress.com/2018/08/26/adjacent-categories-and-continuation-ratio-logit-models-for-ordinal-outcomes), 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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