Stochastic Mortality Modelling

apc | Create an Age-Period-Cohort mortality model |

arima.string | Copy of unexported function arima.string from forecast |

binomRes2q | Map Binomial deviance residuals into deaths |

bootstrap | Generic method for bootstrapping a fitted Stochastic... |

bootstrap.fitStMoMo | Bootstrap a fitted Stochastic Mortality Model |

cbd | Create a Cairns-Blake-Dowd mortality model |

central2initial | Transform StMoMoData from central to initial exposures |

coef.fitStMoMo | Extract coefficients from a fitted Stochastic Mortality Model |

computeDevianceBinomial | Binomial deviance |

computeDeviancePoisson | Compute Poisson deviance |

computeLogLikBinomial | Compute Binomial loglikelihod |

computeLogLikPoisson | Compute Poisson loglikelihod |

EWMaleData | England and Wales male mortality data |

extractCoefficientsFromGnm | Extract the model coefficient |

extractCohort | Extract cohort from an age-period array |

fit | Generic for fitting a Stochastic Mortality Model |

fit.rh | Fit a Renshaw and Haberman (Lee-Carter with cohorts)... |

fit.StMoMo | Fit a Stochastic Mortality Model |

fitted.fitStMoMo | Compute fitted values for a Stochastic Mortality Model |

forecast.fitStMoMo | Forecast mortality rates using a Stochastic Mortality Model |

forecast.iarima | Forecast independent arima series |

forecast.mrwd | Forecast a Multivariate Random Walk with Drift |

genBinomialResBootSamples | Generate Binomial residual bootstrap sample |

genBinomialSemiparametricBootSamples | Generate Binomial semiparametric bootstrap samples |

genPoissonResBootSamples | Generate Poisson residual bootstrap sample |

genPoissonSemiparametricBootSamples | Generate Poisson semiparametric bootstrap samples |

genWeightMat | Generate weight matrix |

getMinimalFitStMoMo | Extract a lighter version of a fitted Stochastic Mortality... |

iarima | Fit independent arima series to a multivariate time series |

initial2central | Transform StMoMoData from initial to central exposures |

invlogit | Inverse Logit function 'invlogit' computes the inverse logit... |

lc | Create a Lee-Carter model |

logit | Logit function 'logit' computes the logit function |

logLik.fitStMoMo | Log-Likelihood of a fitStMoMo object |

m6 | Create an M6 type extension of the Cairns-Blake-Dowd... |

m7 | Create an M7 type extension of the Cairns-Blake-Dowd... |

m8 | Create an M8 type extension of the Cairns-Blake-Dowd... |

mrwd | Fit a Multivariate Random Walk with Drift |

plot.bootStMoMo | Plot bootstrapped parameters of a Stochastic Mortality Model |

plot.fitStMoMo | Plot fitted parameters from a stochastic mortality model |

plot.forStMoMo | Plot a forecast from a Stochastic Mortality Model |

plotParameterFan | Plot fanchart of the parameters |

plot.resStMoMo | Plot the residuals of a Stochastic Mortality Model |

poissonRes2death | Map poisson deviance residuals into deaths |

predict.fitStMoMo | Predict method for Stochastic Mortality Models fits |

predictLink | Compute the link for a given mortality models |

processStartValues | Process the initial parameter supplied by the user |

residuals.fitStMoMo | Extract deviance residuals of a Stochastic Mortality Model |

rh | Create a Renshaw and Haberman (Lee-Carter with cohorts)... |

scatterplotAPC | Do a scatter plot of a matrix according to age-period-cohorts |

simulate.bootStMoMo | Simulate future sample paths from a Bootstrapped Stochastic... |

simulate.fitStMoMo | Simulate future sample paths from a Stochastic Mortality... |

simulate.iarima | Simulate independent arima series |

simulate.mrwd | Simulate a Multivariate Random Walk with Drift |

StMoMo | Create a new Stochastic Mortality Model |

StMoMoData | Create StMoMoData object from demogdata object |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.