additive-models
There are 22 repositories under additive-models topic.
m-clark/Miscellaneous-R-Code
Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.
adibender/pammtools
Piece-wise exponential Additive Mixed Modeling tools
m-clark/generalized-additive-models-workshop-2019
A workshop on using generalized additive models and the mgcv package.
m-clark/R-models
A quick reference for how to run many models in R.
m-clark/docs
Documents that go into methodological detail regarding various statistical procedures.
innoisys/ArachNet
Official Implementation of ARACHNET: INTERPRETABLE SUB-ARACHNOID SPACE SEGMENTATION USING AN ADDITIVE CONVOLUTIONAL NEURAL NETWORK
MoinDalvs/Survival_Analysis_From_Scratch
An introduction to the concepts of Survival Analysis and its implementation in lifelines package for Python.
stappit/semipyrametric-statistics
Python implementations of semiparametric statistical techniques.
AshNumpy/R-ile-Zaman-Serileri-Analizi
İBB'nin İkitelli'de bulunan güneş enerjisi panellerinin gelecek zamanda üretecekleri toplam enerjinin tahmininin yapılmasına ilişkin oluşturulmuş repository.
adibender/pamm
Piece-wise exponential Additive Mixed Models (PAMMs)
allemand-instable/ENSAI-2A-stage-FGAM
ENSAI : Stage 2A - modèles additifs fonctionnels & déconvolution
engyasin/GAM4Traffic
Pedestrians destination prediction
EpistasisLab/PAGER
PAGER is an efficient genotype encoding strategy designed to improve the detection of non-additive genetic variation in complex trait association studies and epistasis investigation. PAGER dynamically encodes genetic variants or multi-locus genotypes (MLG) by normalizing mean phenotypic differences between genotype/MLG classes.
pfreda/PAGER
PAGER is an efficient genotype encoding strategy designed to improve the detection of non-additive genetic variation in complex trait association studies and epistasis investigation. PAGER dynamically encodes genetic variants or multi-locus genotypes (MLG) by normalizing mean phenotypic differences between genotype/MLG classes.
redayzarra/ml-avocado-project
This project utilizes Facebook Prophet to analyze time series data and accurately predict commodity (avocado) prices for the market.
thesis-jdgs/additive-sparse-boost-regression
A Python Package for a Sparse Additive Boosting Regressor
ardyanovi/IHSG-prediction
Analysis to forecast IHSG based on several macro economic indicator using Generalize Additive Model.
boyiguo1/BHAM
Bayesian Hierarchical Additive Models
gregorkb/spaddinf
Statistical inference in sparse high-dimensional additive models
Stoae/Abductiu
Teleològic i abductiu: Una aproximació als models additius per la interpretabilitat.
prathamsolanki/nutri-score-decision-models
Some decision models for the nutri-score label of foods
tamas-ferenci/FerenciTamas_SimitasSplineRegresszioAdditivModellek
Ferenci Tamás: Simítás, spline-regresszió, additív modellek (jegyzet).