.. Banister model fitting using LM .. can plot Banister curves on trends plots; - Performance curve (NTE+PTE) - Predicted CP curve (Performance curve scaled) - Negative Training Effect - Positive Training Effect .. the code is sub-optimal and needs to be refactored to cache and refresh less frequently (using the same pattern as PMC most likely). .. the model fitting can fail and needs to be made a lot more robust, along with ensuring the samples we fit to are appropriate.
GoldenCheetah
About
GoldenCheetah is an open-source data analysis tool primarily written in C++ with Qt for cyclists and triathletes with support for training as well.
GoldenCheetah can connect with indoor trainers and cycling equipment such as cycling computers and power meters to import data.
In addition, GoldenCheetah can connect to cloud services.
It can then manipulate and view the data, as well as analyze it.
Installing
Golden Cheetah install and build instructions are documented for each platform;
INSTALL-WIN32 For building on Microsoft Windows
INSTALL-LINUX For building on Linux
INSTALL-MAC For building on Apple OS X
Alternatively, official builds are available from http://www.goldencheetah.org
whilst the latest developer builds are available from https://github.com/GoldenCheetah/GoldenCheetah/releases