Overview | Summary of supported model types | Linear regression | Logistic regression | Poisson regression with an offset | Piecewise exponential survival model via Poisson regression | Native Cox regression | Gamma regression | Negative binomial regression (fixed θ) | Multinomial regression (experimental) | Multi-response Gaussian (experimental) | Limitations

What fbrglm is for | A small binomial example | Choosing lambda | Factor predictors | Missing values | Offsets | Reaching the underlying glmnet objects | Limitations (intentional)

Overview | Summary of supported model types | Linear regression | Logistic regression | Poisson regression with an offset | Piecewise exponential survival model via Poisson regression | Native Cox regression | Gamma regression | Negative binomial regression (fixed θ) | Multinomial regression (experimental) | Multi-response Gaussian (experimental) | Limitations

What fbrglm is for | A small binomial example | Choosing lambda | Factor predictors | Missing values | Offsets | Reaching the underlying glmnet objects | Limitations (intentional)