Cubic spline approximation (smoothing)
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Updated
Sep 7, 2025 - Python
Cubic spline approximation (smoothing)
DIVAnd performs an n-dimensional variational analysis of arbitrarily located observations
A Modern Fortran translation of the FITPACK package for curve and surface fitting
Fit hidden Markov models using Template Model Builder (TMB): flexible state-dependent distributions, transition probability structures, random effects, and smoothing splines.
Python class for creating and optimizing quadratic and cubic Bezier curves and path smoothing implementation.
Smoothing algorithm and interpolation tool using cubic Bézier splines - reproduces Excel's smooth scatter plot
METAgenomic LONgitudinal Differential Abundance method
Computational Intelligence Packages (CIP) for Mathematica
Cubic spline approximation (smoothing) in Rust
Functional Data Analysis Group
Turn data points into a smooth Bézier curve in Dart
Im Rahmen der Mental Health Surveillance (MHS) am Robert Koch-Institut (RKI) werden für eine Auswahl an Indikatoren der psychischen Gesundheit von Erwachsenen basierend auf Surveydaten Zeitreihen bestehend aus gleitenden Drei-Monats-Schätzern und Glättungskurven berechnet. Dadurch sollen Entwicklungen in der psychischen Gesundheit der erwachsene...
Create a regression smoothing spline for a set of points.
Short implementation of a EGRSS matrix format including an application example in smoothing spline fitting.
Multivariate Normal Hermite-Birkhoff Uniform Smoothing Splines in Julia
Basis and penalty matrices in JAX
A repo of code and data for quantile-frequency analysis (QFA) & spline quantile regression (SQR). QFA uses trigonometric quantile regression to perform spectral analysis of time series at given quantiles or as 2D functions of frequency and quantile. SQR offers smooth functional representations of linear quantile regression across quantiles.
Performing different models on a dataset regarding National Park biodiversity and the number of visitors.
Project for the Applied Statistics course of the MSc in Mathematical Engineering @ Polimi, A.Y. 2023-2024.
Please read the readme.md file
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