Stan is a probabilistic programming language for specifying statistical models. Stan provides full Bayesian inference for continuous-variable models through Markov Chain Monte Carlo methods such as the No-U-Turn sampler, an adaptive form of Hamiltonian Monte Carlo sampling. Penalized maximum likelihood estimates are calculated using optimization methods such as the limited ...

I was recently contacted to see if simstudy can create a data set of correlated outcomes that are measured over time, but at different intervals for each individual. The quick answer is there is no specific function to do this. However, if you are willing to assume an “exchangeable” correlation ...

Do you know what that sound is, Highness? Those are the Shrieking Eels — if you don’t believe me, just wait. They always grow louder when they’re about to feed on human flesh. If you swim back now, I promise, no harm will come to you. I doubt you ...

In a previous blog post, I explained how we can leverage the k-means clustering algorithm to count the number of red baubles on a Christmas tree. This method fails however if we put Christmas tinsels on it. Let’s find a solution for this more difficult case. Filter red points ...

Aiming to ease your RStudio::Conf FOMO by sharing as much R and conference information as possible. The goal is to help everyone feel included, ready to level up their R skills and engage with the community!

Version 0.6.0 of the hrbrthemes???? package should be hitting a CRAN mirror near you soon. Apart from some general documentation and code cleanup this release includes the dark theme folks have been seeing in blog posts and tweets over the past few months. It’s called theme_ft_rc() since it ...

How to Build a Shiny “Truck” part 2 — Let the LEGO “truck” app pull a trailer. An example of a modularized shiny app. In September 2018 I used an automotive metaphor explaining a large scale R shiny app. RViews published the article. I would summarize the article in one phrase. Upon building ...

How to Build a Shiny “Truck” part 2 — Let the LEGO “truck” app pull a trailer. An example of a modularized shiny app. In September 2018 I used an automotive metaphor explaining a large scale R shiny app. RViews published the article. I would summarize the article in one phrase. Upon building ...

This is a worked example on how to set up SQL Server, SQL Server Management Studio, and a ODBC connection with R. Step 1: Install SQL Server from https://www.microsoft.com/en-us/sql-server/sql-server-downloads. The SQL Server 2017 Express was good e...

This is a worked example on how to set up SQL Server, SQL Server Management Studio, and a ODBC connection with R. Step 1: Install SQL Server from https://www.microsoft.com/en-us/sql-server/sql-server-downloads. The SQL Server 2017 Express was good e...

Background to this post: rstudio::conf 2019 I had the wonderful opportunity to attend RStudio’s annual conference in Austin, Texas last week, supported by a generous grant from RStudio. While I can’t possibly write about all of the incredible people I met and the excellent presentations I saw, I’...

Economic growth models are recursively partitioned to assess heterogeneity in growth and convergence across EU regions while adjusting for spatial dependencies. Accompanied by R package lagsarlmtree, combining partykit::mob and spdep::lagsarl...

This week, I attended a three-day hacking event of the Crypto Traders Berlin Meetup group. The aim was to find relationships between sentiment data of bitcointalk and twitter and the price of crypto currencies. In practise, it turns out to be not that...