| MLTobs {LifeTables} | R Documentation |
Background objects necessary for certain functions
Description
This data set contains objects that are necessary for certain package functions and are described in detail below
Usage
data(MLTobs)Format
averages.smooth A 48x7 matrix whose columns contain the seven 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 799 which contains the classification for the 799 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.Mx.svd.scores A 48x10 matrix whose columns contain the first 10 component score vectors a SVD of the HMD mortality rate schedules.
flt.mx A 24x799 matrix whose columns contain the 799 female mortality rate schedules in the Human Mortality Database
flt.mx.info A 799x28 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 8x48 matrix whose first five rows contain the family-age-specific high deviations for when alpha is positive. The 8th row contains the age-specific high deviations from the entire HMD data set. 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 8x48 matrix whose first five rows contain the family-age-specific low deviations for when alpha is positive. The 8th row contains the age-specific low deviations from the entire HMD data set. Used in
mortmod.mlt.mx A 24x799 matrix whose columns contain the 799 male mortality rate schedules in the Human Mortality Database
mlt.mx.info A 799x28 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 33x7 matrix whose columns contain the female family-specific alpha values to produce life tables with life expectancies at 33 levels from 20-100 in 2.5 year increments
opt.alpha.m A 33x7 matrix whose columns contain the male family-specific alpha values to produce life tables with life expectancies at 33 levels from 20-100 in 2.5 year increments
Patterns.final.coeffs A 5x7 matrix whose columns contain the set of median coefficients for each family that 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." Paper presented at the annual meeting of the Population Association of America. http://paa2011.princeton.edu/abstracts/111808
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, A. E. Raftery, T. B. Murphy, L. Scrucca (2012) "mclust Version 4 for R: Normal Mixture Modeling for Model-Based Clustering, Classification, and Density Estimation", Technical Report no. 597, 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 February 2015).