## Articles with the statistics tag

The next version of powerlmm (0.4.0) will soon be released, besides bug fixes this version also includes several new simulation features. In this post I will show two examples that cover the major new features.

Read more
My R package 'powerlmm' has now been update to version 0.3.0. It adds support for a more flexible effect size specifiation.

Read more
This post contains the slides from a talk I gave recently at Stockholm University

Read more
My R package 'powerlmm' has now been update to version 0.2.0. It contains several improvements, and new features.

Read more
Over the summer I've been working on finishing my new R package 'powerlmm', which is now almost complete. It provides flexible power calculations for typical two- and three-level longitudinal linear mixed models, with unbalanced treatment groups and cluster sizes, as well as with missing data and random slopes at both the subject and cluster-level.

Read more
This visualization illustrates the appropriate tests to use when your research hypothesis is that two treatments are equally effective, or that a new treatment is no worse than the current gold standard.

Read more
The visualization illustrates a Bayesian two-sample t test

Read more
I've added more options to my NHST visualization

Read more
My p-curve visualization has been updated with the option to log the x-axis.

Read more
This visualization shows how the t-distribution and the Gaussian (normal) distribution approaches each other when sample size increases.

Read more