Version 4 of our LogletLab software has been released and can be accessed at www.logletlab.com. LogletLab software is designed to help users analyze and decompose socio-technical growth processes using the logistic function as well as a range of sigmoidal functions, S-curves. This decomposition is roughly analogous to wavelet analysis, popular for signal processing and compression.
This latest version of our software offers users numerous new features including an extended selection of sigmoidal fitting functions and advanced statistical analyses. Background information can be found here: https://phe.rockefeller.edu/LogletLab/docs.html
Many thanks to Eyal Schachter and David Burg of the University of Haifa for its development.