Name: Mirko Signorelli
Type: User
Company: Mathematical Institute, Leiden University
Bio: Statistician and R developer working as assistant professor of Statistics at Leiden University
Twitter: signormirko
Location: Leiden (NL)
Blog: https://mirkosignorelli.github.io
Mirko Signorelli's Projects
Repository associated to the publication on model based clustering for populations of networks (Signorelli and Wit, 2020)
Repository associated to the article "On community structure validation in real networks" (Signorelli and Cutillo, 2022)
Seamless navigation through combined results of set-based and network-based enrichment analysis
A heterogeneous list of resources related to e-Rum2020
:sparkles: Hexagon sticker in R
Information about supervision of research projects for bachelor and master students
Repository associated to my personal website
Miscellaneous material
A minimalist R package containing some functions that I find useful
neat is an R package that implements the Network Enrichment Analysis Test (NEAT) described in Signorelli, Vinciotti and Wit (2016, BMC Bioinformatics)
Repository associated to the publication on penalized blockmodelling of cosponsorship networks published in Signorelli and Wit (2018, JRSS-C)
Repository associated to the article on Penalized Regression Calibration (Signorelli et al., 2021)
R package pencal (development version). pencal is the R package that implements Penalized Regression Calibration (Signorelli et al., 2021), a method for the dynamic prediction of survival that can deal with a large number of longitudinal covariates
ptmixed is an R package that fits the Poisson-Tweedie generalized linear mixed model proposed in Signorelli, Spitali and Tsonaka (2021, Statistical Modelling)