by Angelika Stefan & Felix Schönbrodt When reading about Bayesian statistics, you regularly come across terms like “objective priors“, “prior odds”, “prior distribution”, and “normal prior”. However, it may not...continue reading.
You’ve just made an amazing plot in R, and the only thing remaining is finding the right colours to use. Arghhh this part is never fun… You’re probably familiar with...continue reading.
I recently published a new explorable visualization of equivalence, and non-inferiority testing. The visualization lets you explore the decision rules associated with these different hypotheses. It also shows how the...continue reading.
After rewatching the thanksgiving classic, Bill and Ted’s Excellent Adventure, it reminded me of the history of #Rstats and its current status as the defacto software for general data programming....continue reading.
Modeling the frequency is one of the most important aspects in operational risk models. In the previous post (https://statcompute.wordpress.com/2016/05/13/more-flexible-approaches-to-model-frequency), the importance of flexible modeling approaches for both under-dispersion and over-dispersion...continue reading.
I’d like to share some tips and recommendations on building htmlwidgets, based on my own learning experience while creating timevis. These tips are mostly concerned with making your htmlwidget more...continue reading.
This document contains a collection of various Shiny tricks that I commonly use or that I know many people ask about. Each link contains a complete functional Shiny app that...continue reading.
I came across a stackoverflow post the other day touching on first differencing and decided to write a quick review of the topic as well as related random effects and...continue reading.