| dlnm-package | Distributed Lag Non-linear Models (DLNM) |
| cbPen | Generate Penalty Matrices for a DLNM |
| chicagoNMMAPS | Daily Mortality Weather and Pollution Data for Chicago |
| coef.crosspred | Model Coefficients and their (Co)Variance Matrix of a DLNM |
| coef.crossreduce | Model Coefficients and their (Co)Variance Matrix of a DLNM |
| cr | Generate a Basis Matrix for Penalized Cubic Regression Splines |
| crossbasis | Generate a Cross-Basis Matrix for a DLNM |
| crossplot | Plot Predictions for a DLNM |
| crosspred | Generate Predictions for a DLNM |
| crossreduce | Reduce the Fit of a DLNM to One-Dimensional Summaries |
| dlnm | Distributed Lag Non-linear Models (DLNM) |
| drug | A Trial on the Effect of Time-Varying Doses of a Drug |
| equalknots | Define Knots at Equally-Spaced Values |
| exphist | Define Exposure Histories from an Exposure Profile |
| integer | Generate a Basis Matrix of Indicator Variables for Integer Values |
| lin | Generate a Basis Matrix with a Variable as Linear |
| lines.crosspred | Plot Predictions for a DLNM |
| lines.crossreduce | Plot Predictions for a Reduced DLNM |
| logknots | Define Knots for Lag Space at Equally-Spaced Log-Values |
| mkbasis | Generate a Basis Matrix for Different Functions |
| mklagbasis | Generate a Basis Matrix for Different Functions |
| nested | Nested Case-Control Study with a Time-Varying Exposure and a Cancer Outcome |
| onebasis | Generate a Basis Matrix for Different Functions |
| plot.crosspred | Plot Predictions for a DLNM |
| plot.crossreduce | Plot Predictions for a Reduced DLNM |
| points.crosspred | Plot Predictions for a DLNM |
| points.crossreduce | Plot Predictions for a Reduced DLNM |
| poly | Generate a Basis Matrix of Polynomials |
| Predict.matrix.cb.smooth | Cross-Basis Spline Smooths for a DLNM |
| ps | Generate a Basis Matrix for P-Splines |
| smooth.construct.cb.smooth.spec | Cross-Basis Spline Smooths for a DLNM |
| strata | Generate a Basis Matrix of Indicator Variables |
| summary.crossbasis | Generate a Cross-Basis Matrix for a DLNM |
| summary.crosspred | Generate Predictions for a DLNM |
| summary.crossreduce | Reduce the Fit of a DLNM to One-Dimensional Summaries |
| summary.onebasis | Generate a Basis Matrix for Different Functions |
| thr | Generate a Basis Matrix of Linear Threshold Transformations |
| vcov.crosspred | Model Coefficients and their (Co)Variance Matrix of a DLNM |
| vcov.crossreduce | Model Coefficients and their (Co)Variance Matrix of a DLNM |