Package index • demography

All functions

as.data.frame(<demogdata>): Coerce a demogdata object to a data.frame object

aus.fert: Australian fertility data

cm.spline() cm.splinefun(): Monotonic interpolating splines

coherentfdm(): Coherent functional demographic model for grouped data

combine.demogdata(): Combine two demogdata objects into one demogdata object

compare.demogdata(): Evaluation of demographic forecast accuracy

demogdata(): Create demogdata object from raw data matrices

extract.ages(): Extract some ages from a demogdata object

extract.years(): Extract some years from a demogdata object

fdm(): Functional demographic model

forecast(<fdm>): Forecast functional demographic model.

forecast(<fdmpr>): Forecast coherent functional demographic model.

forecast(<lca>): Forecast demogdata data using Lee-Carter method.

fr.mort fr.sm: French mortality data

hmd.mx() hmd.e0() hmd.pop(): Read data from HMD and construct a mortality demogdata object

isfe(): Integrated Squared Forecast Error for models of various orders

lca() bms(): Model mortality or fertility data using Lee-Carter approach

life.expectancy() flife.expectancy() e0(): Estimate life expectancy from mortality rates

lifetable(): Construct lifetables from mortality rates

mean(<demogdata>) median(<demogdata>): Mean and median functions for data of class demogdata

netmigration(): Calculate net migration from mortality and fertility data

models(): Show model information for the forecast coefficients in FDM models.

plot(<demogdata>) lines(<demogdata>) points(<demogdata>): Plot age-specific demographic functions

plot(<errorfdm>): Plot differences between actuals and estimates from fitted demographic model

plot(<fmforecast>) plot(<lca>): Plot forecasts from a functional demographic modell

plot(<lifetable>) lines(<lifetable>): Plot life expectancy from lifetable

pop.sim(): Population simulation

read.demogdata(): Read demographic data and construct demogdata object

residuals(<fdm>) fitted(<fdm>) fitted(<lca>) residuals(<lca>): Compute residuals and fitted values from functional demographic model or Lee-Carter model

set.upperage(): Combine the upperages of a demogdata object.

sex.ratio(): Compute sex ratios from mortality rates

simulate(<fmforecast>) simulate(<fmforecast2>): Simulate future sample paths from functional demographic model forecasts.

smooth.demogdata(): Create smooth demogdata functions

summary(<fdm>) summary(<lca>): Summary for functional demographic model or Lee-Carter model

tfr(): Compute total fertility rate from fertility rates

update(<fmforecast>) update(<fmforecast2>): Updating functional demographic models and coherent functional demographic models.