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.
METAgenomic LONgitudinal Differential Abundance method
Smoothing algorithm and interpolation tool using cubic Bézier splines - reproduces Excel's smooth scatter plot
Computational Intelligence Packages (CIP) for Mathematica
Functional Data Analysis Group
Cubic spline approximation (smoothing) in Rust
Turn data points into a smooth Bézier curve in Dart
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.
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...
Multivariate Normal Hermite-Birkhoff Uniform Smoothing Splines in Julia
Project for the Applied Statistics course of the MSc in Mathematical Engineering @ Polimi, A.Y. 2023-2024.
Please read the readme.md file
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).
Performing different models on a dataset regarding National Park biodiversity and the number of visitors.
predicting house price using random forest model and smoothing spline model
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