mhermans Goto Github PK

3dprinting

Notes and files while learning 3D-printing

aapps

Apps voor Antwerpen

aerajournals

repository for working paper on AERA-journals bibliographical evolutions

arduinoro

Arduino-based Pomodoro clock

belgiummaps.statbel

Administrative boundaries of Belgium based on Open Data available at Statistics Belgium

bibliotools3.0

modification of bibliotools 2.2 from Sébastian Grauwin

bomenwandeling_jette

Example of generating an interactive map using R, based on GPX & EXIF-data

devtools

Tools to make an R developer's life easier

dierentheater

lachambre.be_to_json

distill

Distill for R Markdown

dockerding

Learning Docker - notes & Dockerfiles

espwrangling

Notes, code and ideas on the ESP-boards

flasky

Pelican theme created by F. Javier Alba, slightly adapted

geboorte_design

gheocode

Geocoding webservice for Ghent with basic spatial inference

gigaset-openwrt

Documenting the installation of OpenWRT on a Siemens Gigaset SX763

greppit

Graph utilities for Reddit

grid-side

Personal portfolio and blog for use by the Hugo generator.

hikrtools

R utilities to manipulatie, visualise and analyse hiking trails

historical-maps-r

Material for the show-and-tell session "Making historical maps with R"

hiva-latex-template

homepage_old

leuven_sochist

lunchr

Repository for R lunch seminars

mhermans.github.com

Homepage/notes

mplusautomation

The MplusAutomation package leverages the flexibility of the R language to automate latent variable model estimation and interpretation using Mplus, a powerful latent variable modeling program developed by Muthen and Muthen (www.statmodel.com). Specifically, MplusAutomation provides routines for creating related groups of models, running batches of models, and extracting and tabulating model parameters and fit statistics.

mstls

R function and tools for working with multistate demographic data

neo4r

Query Neo4j from R through the REST-interface

neo4twitter

Basic Twitter user-crawler with Neo4j backend

pycom-documentation

Pycom Official Documentation for WiPy 2.0, LoPy, SiPy, FiPy, GPy, etc.