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| MortalitySmooth-package | Smoothing Poisson counts with P-splines |
| HMDdata | Population and Mortality Data |
| Mort1Dsmooth | Fit One-dimensional Poisson P-splines |
| Mort1Dsmooth.checker | Check Arguments for Function Mort1Dsmooth |
| Mort1Dsmooth.estimate | Estimate 1D P-splines for a given lambda |
| Mort1Dsmooth.update | Update a 1D Penalized-Poisson Iteration |
| Mort2Dsmooth | Fit Two-dimensional Poisson P-splines |
| Mort2Dsmooth.checker | Check Arguments for Function Mort2Dsmooth |
| Mort2Dsmooth.estimate | Estimate 2D P-splines for two given lambdas |
| Mort2Dsmooth.se | Compute a 2D standard errors |
| Mort2Dsmooth.update | Update a 2D Penalized-Poisson Iteration |
| MortalitySmooth | Smoothing Poisson counts with P-splines |
| MortSmooth.bbase | Construct B-spline basis |
| MortSmooth.BcoefB | Multiply a matrix (from a kronecker product) by a matrix |
| MortSmooth.BWB | Calculates the inner product of a matrix and a sparse weight matrix |
| MortSmooth.tpower | Truncated p-th Power Function |
| plot.HMDdata | Plot age and year specific demographic data |
| plot.Mort1Dsmooth | Plot of the Mort1Dsmooth outcomes |
| plot.Mort2Dsmooth | Plot of the Mort2Dsmooth outcomes |
| predict.Mort1Dsmooth | Predict Method for 1D P-splines Fits |
| predict.Mort2Dsmooth | Predict Method for 2D P-splines Fits |
| print.Mort1Dsmooth | Fit One-dimensional Poisson P-splines |
| print.Mort2Dsmooth | Fit Two-dimensional Poisson P-splines |
| print.summary.Mort1Dsmooth | Summary for Mort1Dsmooth objects |
| print.summary.Mort2Dsmooth | Summary for Mort2Dsmooth objects |
| residuals.Mort1Dsmooth | Extract 1D P-splines Model Residuals |
| residuals.Mort2Dsmooth | Extract 2D P-splines Model Residuals |
| selectHMDdata | Selecting Data from the HMDdata Object |
| summary.Mort1Dsmooth | Summary for Mort1Dsmooth objects |
| summary.Mort2Dsmooth | Summary for Mort2Dsmooth objects |