Model FittingMain functions for fitting the ggmix model 


Fit Linear Mixed Model with Lasso or Group Lasso Regularization 

Generalised Information Criterion 

Methods for objects of class ggmix_fit and ggmix_gicMethod functions to extract relevant information from fitted objects 

Make predictions from a 

Make predictions from a 

Print Method for Objects of Class 

Plot Method for 

Plot the Generalised Information Criteria curve produced by 

Extract Random Effects 

DatasetsTwo datasets that ship with the package to illustrate usage 

Karim's Simulated Data 

Simulated Dataset with 1D Geography 

Diagnostic PlotsPlots for assessing model fit 

Plot the Generalised Information Criteria curve produced by 

Simulate DataSimulate data with different geographies 

Simulation Scenario from Bhatnagar et al. (2018+) ggmix paper 

Internal Utility FunctionsFunctions not really meant for the user 

Estimation of Loglikelihood for Linear Mixed Model with Lasso Penalty 

Estimation of Linear Mixed Model with Lasso Penalty 

Check of KKT Conditions for Linear Mixed Model 

Estimation of Lambda Sequence for Linear Mixed Model with Lasso Penalty 

Estimation of Sigma2 for Linear Mixed Model with Lasso Penalty 

Functions related to eta parameter used in optim and kkt checks 


Constructor functions for the different ggmix objects 