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 |
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