smoothing-splines

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...

Short implementation of a EGRSS matrix format including an application example in smoothing spline fitting.

Create a regression smoothing spline for a set of points.

Multivariate Normal Hermite-Birkhoff Uniform Smoothing Splines in Julia

Basis and penalty matrices in JAX

Code for: The Cox-Polya-Gamma Algorithm for Flexible Bayesian Inference of Multilevel Survival Models. Weibull PH model based on Cox-PG algorithm has been added (25JAN2026).

Project for the Applied Statistics course of the MSc in Mathematical Engineering @ Polimi, A.Y. 2023-2024.

Please read the readme.md file

Performing different models on a dataset regarding National Park biodiversity and the number of visitors.