Welcome | Install and load | Mortality in four shapes | Getting data | Fitting a law | What comes back | Reading the figure | Fitting on a subset of ages | Age scaling | Custom laws | From fit to life table | Where to go next | sessionInfo()

What a life table is | The six ways in | The count case | The rate case | Feeding columns back in | From rates to probabilities | How the columns are built | Choosing ax | The open age group | Closing and extending the table | convertFx: one indicator at a time | LawTable: a table from a law | The ex inverse: a table from life expectancies | Reading the output | Session info | References

What a law is | The catalogue of laws | Lifespan types | Family biographies | The Gompertz-Makeham lineage | Siler and the competing risks view | The Heligman-Pollard family | Old age: the Kannisto family | Carriere mixtures | The infant laws of Scholey | Pareto, Lomax and the power hazards | The log-quadratic family | Rogers-Planck | Heterogeneity: a note on what a fitted curve describes | Choosing among the families | Bibliographic notes | Fitting a law with MortalityLaw | The eight objectives | The optimisation procedure | Goodness of fit | How to get it wrong | Custom laws | Session info and references | References

The problem | The model in one page | Quick start | What comes back | The width of the last interval | Choosing the resolution of the output | What a penalty buys | The smoothing parameter | Estimating rates, not counts | Small counts and zeros | Reading the intervals | Missing data and an open interval that moves | Two dimensions | Cost | How to get it wrong | Where to go next | References

Description | Installation | Updating to the latest version of the package | Help | Examples | Input data | Fit DG model at age 0 for Australia using data from 1950 to 2014 | Summary results | Forecast life expectancy in Australia until 2050 | Plot the results