I like to develop R packages.


Estimates when and where a model-guided treatment strategy may outperform a treat-all or treat-none approach by Monte Carlo simulation and evaluation of the Net Monetary Benefit (NMB). predictNMB has been reviewed by rOpenSci and has a publication in the Journal of Open Source Software. It was awarded runner-up for the 2023 Venables Award (open source software for data analytics).


Uses non-linear regression to statistically compare two circadian rhythms. Groups are only compared if both are rhythmic (amplitude is non-zero). Performs analyses regarding mesor, phase, and amplitude, reporting on estimates and statistical differences, for each, between groups. Details can be found in Parsons et al (2020) <doi:10.1093/bioinformatics/btz730>.


Allows users to quickly apply individual or multiple metrics to evaluate Monte Carlo simulation studies.


Draw samples from the direct sampling spatial prior model as described in G. White, D. Sun, P. Speckman (2019) <arXiv:1906.05575>. The basic model assumes a Gaussian likelihood and derives a spatial prior based on thin-plate splines.