fitting.en.md

Fitting

Fit an explicit model to data and obtain best-fit parameters and goodness-of-fit metrics.

Quick Workflow

1. Input data: upload or paste an x y table (optional σ)

   x y
   1.0  2.1(5)
   2.0  4.2(5)
   3.0  6.0(5)
   

2. Choose fitting mode:

   • Polynomial: set degree
   • Inverse power series: set power range
   • Padé: set numerator and denominator order
   • Power-limit: use the A*x**(-p)+C template
   • Custom model: provide a custom expression

3. Options:

   • Weighted fit: use uncertainties as weights (if provided)
   • Log scale: choose log-x, log-y, or log-log (when plots are enabled)

4. Review results:

   • parameter estimates and uncertainties
   • quality metrics (χ², AIC, BIC, R², RMSE)
   • fitted curve and residual plots

Supported Model Families

• polynomial fits
• inverse power series
• Padé approximants
• power-limit template
• custom models

The desktop GUI also supports self-consistent/implicit fitting. The web page currently exposes the explicit model subset listed above.