demography: Forecasting mortality, fertility, migration and population data

The demography package for R contains functions for various demographic analyses. It provides facilities for demographic statistics, modelling and forecasting. In particular, it implements lifetable calculations; Lee-Carter modelling and variants; functional data analysis of mortality rates, fertility rates, net migration numbers; and stochastic population forecasting. Examples funcfor.R: analysis from Hyndman

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rainbow package for R

The rainbow package provides tools for plotting functional data including the rainbow plot, functional bagplot, functional HDR boxplot. The methods are described in Rainbow plots, bagplots and boxplots for functional data [iframe http://cran.ms.unimelb.edu.au/web/packages/rainbow/index.html 600 900]

bfast: Breaks For Additive Season and Trend

Automatic identification of breaks for additive season and trend, designed for use with remote sensing data. Based on Verbesselt, Hyndman, Newnham and Culvenor (2010) Detecting trend and seasonal changes in satellite image time series, Remote Sensing of Environment 114(1), 106-115. Verbesselt, Hyndman, Zeileis and Culvenor (2010) Phenological change detection while

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Monotonic interpolating splines

Download code Description Perform cubic spline monotonic interpolation of given data points, returning either a list of points obtained by the interpolation or a function performing the interpolation. The splines are constrained to be monotonically increasing (i.e., the slope is never negative). Usage cm.splinefun(x, y = NULL, method = "fmm",

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addb package for R

The addb package contains 9 data sets, taken from the Australian Demographic Data Bank version 3.2b, courtesy of Len Smith. The package demography must also be installed. Current version of addb: 3.223 (29 October 2010) Source Smith, L. (2009) The Australian Demographic Data Bank, 1901-2003: Populations [Computer File]. Canberra: Australian

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