Man pages for StMoMo
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 |
