MLTobs: Background objects necessary for certain functions

Description

This data set contains 28 objects which are necessary for certain package functions and are described in detail below

Usage

data(MLTobs)

Arguments

format

28 objects:

averages.smooth

A 48x5 matrix whose columns contain the five underlying family patterns. Rows 1:24 are the male pattern and rows 25:48 are the female patterns. Used in mortmod. class5 A vector of length 844 which contains the classification for the 844 HMD mortality rate schedules. Used in hmd.DA.mx. f.csd.weight A function to determine the weight for the family-specific deviation. Used in mortmod. fitted.ms.pca.scores A 48x10 matrix whose columns contain the first 10 component score vectors a SVD of the HMD mortality rate schedules. flt.mx A 24x844 matrix whose columns contain the 844 female mortality rate schedules in the Human Mortality Database flt.mx.info A 844x28 matrix. The first four columns contain the Location ID, Location Name, Subgroup type and Period. The remaining columns contain the age-specific mortality rates contained in flt.mx. hi.devs A 6x48 matrix whose first five rows contain the family-age-specific high deviations for when alpha is positive. The 6th row contains the age-specific high deviations from the entire HMD dataset. Used in mortmod. hmd.1m0.train.f Training models for females when the input parameters include 1m0. Used in hmd.DA. hmd.1m0.train.m Training models for males when the input parameters include 1m0. Used in hmd.DA. hmd.1m0a.train.f Training models for females when the input parameters include 1m0 and 45q15. Used in hmd.DA.

hmd.1m0a.train.m Training models for males when the input parameters include 1m0 and 45q15. Used in hmd.DA.

hmd.5m0.train.f Training models for females when the input parameters include 5m0. Used in hmd.DA.

hmd.5m0.train.m Training models for males when the input parameters include 5m0. Used in hmd.DA.

hmd.5m0a.train.f Training models for females when the input parameters include 5m0 and 45q15. Used in hmd.DA.

hmd.5m0a.train.m Training models for males when the input parameters include 5m0 and 45q15. Used in hmd.DA.

hmd.1q0.train.f Training models for females when the input parameters include 1q0. Used in hmd.DA.

hmd.1q0.train.m Training models for males when the input parameters include 1q0. Used in hmd.DA.

hmd.1q0a.train.f Training models for females when the input parameters include 1q0 and 45q15. Used in hmd.DA.

hmd.1q0a.train.m Training models for males when the input parameters include 1q0 and 45q15. Used in hmd.DA.

hmd.5q0.train.f Training models for females when the input parameters include 5q0. Used in hmd.DA.

hmd.5q0.train.m Training models for males when the input parameters include 5q0. Used in hmd.DA.

hmd.5q0a.train.f Training models for females when the input parameters include 5q0 and 45q15. Used in hmd.DA.

hmd.5q0a.train.m Training models for males when the input parameters include 5q0 and 45q15. Used in hmd.DA.

lo.devs A 6x48 matrix whose first five rows contain the family-age-specific low deviations for when alpha is positive. The 6th row contains the age-specific low deviations from the entire HMD dataset. Used in mortmod. mlt.mx A 24x844 matrix whose columns contain the 844 male mortality rate schedules in the Human Mortality Database mlt.mx.info A 844x28 matrix. The first four columns contain the Location ID, Location Name, Subgroup type and Period. The remaining columns contain the age-specific mortality rates contained in mlt.mx. opt.alpha.f A 25x5 matrix whose columns contain the female family-specifc alpha values to produce life tables with life expectancies at 25 levels from 30-90 in 2.5 year increments opt.alpha.m A 25x5 matrix whose columns contain the male family-specifc alpha values to produce life tables with life expectancies at 25 levels from 30-90 in 2.5 year increments Patterns.final.coeffs A 5x5 matrix whose columns contain the set of median coefficients for each family which are used to calculate the underlying family patterns

References

S. Clark and D. Sharrow (2011) "Contemporary Model Life Tables for Developed Countries: An Application of Model-Based Clustering." Working Paper No. 107, Center for Statistics and the Social Sciences, University of Washington, www.csss.washington.edu/Papers/

C. Fraley and A. E. Raftery (2002) "Model-based clustering, discriminant analysis, and density estimation." Journal of the American Statistical Association 97:611-631.

C. Fraley and A. E. Raftery (2006) "MCLUST Version 3 for R: Normal Mixture Modeling and Model-Based Clustering", Technical Report no. 504, Department of Statistics, University of Washington

Human Mortality Database University of California, Berkeley (USA), and Max Planck Institute for Demographic Research (Germany). Available at www.mortality.org or www.humanmortality.de (data downloaded on [November 2009]).