Site Tags

Tags provide a way to categorize and cross-reference pages across this documentation site. Select any tag below to discover related pages, or use tags to navigate between topics that share a common theme.

Basics

Choose a Response Family Cookbook

Fit Your First Smooth Cookbook

Read the Model Summary Cookbook

Beta

Model Proportions with Beta Cookbook

Binomial

Model Binary Outcomes with Binomial Cookbook

Causal inference

Estimate an Average Treatment Effect Cookbook

Estimate Heterogeneous Treatment Effects (CATE) Cookbook

Cross-validation

Cross-Validate a GAM Cookbook

Data input

Query with DuckDB and Fit In-Database Cookbook

Stream a Polars LazyFrame Cookbook

Use a Polars DataFrame Cookbook

Use a PyArrow Table Cookbook

Use an Offset Term for Exposure Cookbook

Deployment

Export a Model to R’s mgcv Format Cookbook

Save and Load a Fitted Model Cookbook

Use a GAM in a scikit-learn Pipeline Cookbook

Diagnostics

Check Basis Dimension Adequacy Cookbook

Compare Models with AIC Cookbook

Inspect Residuals Cookbook

Read the Model Summary Cookbook

Families

Choose a Response Family Cookbook

Estimate a Survival Curve with Cox PH Cookbook

Handle Overdispersed Counts with Negative Binomial Cookbook

Model Binary Outcomes with Binomial Cookbook

Model Count Data with Poisson Cookbook

Model Location and Scale Together (GAMLSS) Cookbook

Model Proportions with Beta Cookbook

Model Skewed Positive Data with Gamma Cookbook

Model Zero-Inflated Counts Cookbook

Use an Offset Term for Exposure Cookbook

Gamma

Model Skewed Positive Data with Gamma Cookbook

Gaussian

Fit Your First Smooth Cookbook

Model Location and Scale Together (GAMLSS) Cookbook

Inference

Build Conformal Prediction Intervals Cookbook

Enforce Non-Crossing Quantiles Cookbook

Estimate an Average Treatment Effect Cookbook

Estimate Heterogeneous Treatment Effects (CATE) Cookbook

Fit a Multi-Response GAM Cookbook

Fit Quantile Regression Cookbook

Get Confidence Intervals for Predictions Cookbook

Get Prediction Intervals Cookbook

Get Simultaneous Confidence Bands Cookbook

Interactions

Add a Tensor Product for Two Predictors Cookbook

Use a By-Variable Smooth Cookbook

Interpretation

Extract Term-Level Contributions Cookbook

Model fitting

Choose a Smoothing Method Cookbook

Fit a BigGAM on a Large DataFrame Cookbook

Update a Streaming GAM Incrementally Cookbook

Use Select Smoothing to Shrink Away a Term Cookbook

Model selection

Check Basis Dimension Adequacy Cookbook

Choose a Smoothing Method Cookbook

Compare Models with AIC Cookbook

Control Basis Dimension with k Cookbook

Cross-Validate a GAM Cookbook

Poisson

Handle Overdispersed Counts with Negative Binomial Cookbook

Model Count Data with Poisson Cookbook

Model Zero-Inflated Counts Cookbook

Use an Offset Term for Exposure Cookbook

Polars

Stream a Polars LazyFrame Cookbook

Use a Polars DataFrame Cookbook

Prediction

Build Conformal Prediction Intervals Cookbook

Enforce Non-Crossing Quantiles Cookbook

Extract Term-Level Contributions Cookbook

Fit a Functional Covariate Cookbook

Fit a Multi-Response GAM Cookbook

Fit Quantile Regression Cookbook

Get Confidence Intervals for Predictions Cookbook

Get Prediction Intervals Cookbook

Get Simultaneous Confidence Bands Cookbook

Predict on New Data Cookbook

Predict on the Link Scale Cookbook

Random effects

Add a Random Effect Cookbook

Scalability

Fit a BigGAM on a Large DataFrame Cookbook

Query with DuckDB and Fit In-Database Cookbook

Stream a Polars LazyFrame Cookbook

Update a Streaming GAM Incrementally Cookbook

scikit-learn

Use a GAM in a scikit-learn Pipeline Cookbook

Serialization

Export a Model to R’s mgcv Format Cookbook

Save and Load a Fitted Model Cookbook

Shape constraints

Fit a Convex Smooth Cookbook

Fit a Monotone Decreasing Smooth Cookbook

Fit a Monotone Increasing Smooth Cookbook

Smooths

Add a Random Effect Cookbook

Add a Tensor Product for Two Predictors Cookbook

Control Basis Dimension with k Cookbook

Fit a Convex Smooth Cookbook

Fit a Cyclic Smooth to Seasonal Data Cookbook

Fit a Functional Covariate Cookbook

Fit a Monotone Decreasing Smooth Cookbook

Fit a Monotone Increasing Smooth Cookbook

Fit a Spatial Smooth with a Tensor Product Cookbook

Fit a Thin Plate Regression Spline Cookbook

Use a By-Variable Smooth Cookbook

Spatial

Fit a Spatial Smooth with a Tensor Product Cookbook

Survival

Estimate a Survival Curve with Cox PH Cookbook

Time series

Fit a Cyclic Smooth to Seasonal Data Cookbook