To be more in line with the rest of the regression families I think it would be a good idea to support lognormal distribution reparameterized with mean and standard deviation on the natural scale.

Here is the reparametrization (from ProbOnto, https://sites.google.com/site/probonto/download):

$P\left(x ; \boldsymbol{\mu}{N}, \boldsymbol{\sigma}{N}\right)=\frac{1}{x \sqrt{2 \pi \log \left

#108 could have been prevented if knit_print tests captured this breaking change.

Adding test examples checking for knit_print output should provide reasonably detailed tests for brief_entries(), detailed_entries() and bibliography_entries() outputs.

The Dockerfile should default to options(Ncpus = 4) so that install is done faster.