Topic: "generalised-additive-models"
nicholasjclark/mvgam
{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for multivariate modeling and forecasting
Language: R - Size: 985 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 153 - Forks: 15

nicholasjclark/physalia-forecasting-course
Ecological forecasting using Dynamic Generalized Additive Models with R 📦's {mvgam} and {brms}
Language: HTML - Size: 400 MB - Last synced at: 5 days ago - Pushed at: 26 days ago - Stars: 38 - Forks: 11

gavinsimpson/tsgam 📦
Functions for using GAMs to model time series
Language: R - Size: 202 KB - Last synced at: 11 months ago - Pushed at: about 7 years ago - Stars: 32 - Forks: 4

alaparicioc/Estimating_annual_flows_from_residence_permit_data
This repository contains data, code and outputs related to the paper titled "A Bayesian approach to integrate and impute South American migration flows using residence permit data".
Size: 11.2 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

C-Monaghan/Procrastination_Health
🩺 Code for the paper "Procrastination and preventive health-care in the older U.S. population"
Language: R - Size: 4.69 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

simran-padam/YoutubeVirality
This report uncovers Youtube identifiers for a viral video using the application of statistical methodologies and text analysis
Language: Jupyter Notebook - Size: 27 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Marieapln/Dissertation Fork of Marie-2707/Dissertation
Shiny App to visualise and fit a GAM
Language: R - Size: 2.03 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

natmurad/oilpriceforecast
Forecasting Oil Prices with Time Series & Generalized Additive Models for Location, Scale and Shape
Language: HTML - Size: 8.52 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

mihirbhatia999/Electricity_Sales_Prediction
Prediction of the adjusted electricity sales using simple machine learning algorithms like linear regression, GAMs, MARS and Random Forests
Language: R - Size: 1010 KB - Last synced at: 8 months ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0

stappit/wood_gam
Some solutions to Wood's Generalised Additive Models book.
Size: 15.6 KB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0
