generalised-linear-models
There are 0 repository under generalised-linear-models topic.
nicholasjclark / physalia-forecasting-course
Ecological forecasting using Dynamic Generalized Additive Models with R 📦's {mvgam} and {brms}
Language:HTML 26andreaskapou / scMET
Bayesian modelling of DNA methylation heterogeneity at single-cell resolution
Language:R 19christophergandrud / coreSim
Core Functionality for Simulating Quantities of Interest from Generalised Linear Models
Language:R 5ebprado / CSP-BART
R scripts and data sets that can be used to reproduce the results presented in the paper "Accounting for shared covariates in semi-parametric Bayesian additive regression trees".
Language:R 4- Language:Python 2
StatisticsHealthEconomics / covid
The project can be split into different sub-projects (easy-medium difficulty: meta-analysis of COVID vaccines; medium-high difficulty: estimating excess mortality due to COVID). Requires skills in R and will require some learning on Bayesian modelling.
markpurver / biglmm
R package hosted on CRAN: Generalised linear models calculated by splitting data into smaller chunks (Author: Thomas Lumley)
Language:R 1SimonBussy / binarsity
Experiments for Binarsity: a penalization for one-hot encoded features
Language:Jupyter Notebook 1- Language:HTML 0
lukaseamus / thermal-effluent
Data and R code accompanying article 10.3354/meps14261 in Marine Ecology Progress Series.
Language:R 0wh607 / Analysis-of-Air-BnB-Data
Data analysis of Air BnB data in Barcelona and London using a subset of data investigated by Gyódi, K., & Nawaro, Ł. Generalised Linear Models have been fitted to examine weekend price differences and how price changes between the two cities.
0aspennini / bank-mortgage-retention
Modeling Mortgage Customer Retention with Binary Logistic Regression
maxbiostat / second_year_poster
my second year poster for the Graduate School Poster Day 2016
Language:TeXThe project can be split into different sub-projects (easy difficulty: replication of the published meta-analysis for evidence of gender bias in hiring decisions; medium for newer modelling). Requires skills in R and will require some learning on Bayesian modelling.
