fitw_LSE: Estimate bx using least square method and vx with SVD
In mpascariu/MortalityEstimate: Indirect Estimation Methods for Measurement of Demographic Indicators
View source: R/fun_LinearLink.R
Description
Estimate bx using least square method and vx with SVD
Usage
1
fitw_LSE(log_ex_theta, log_mx, nu = 1, nv = 1)
Arguments
log_ex_theta
Life expectancy at age theta (log values)
log_mx
death rates (log values)
nu
The number of left singular vectors to be computed in SVD method.
This must between 0 and n = nrow(x). See svd.
nv
the number of right singular vectors to be computed.
This must be between 0 and p = ncol(x). See svd.
mpascariu/MortalityEstimate documentation built on May 11, 2021, 6:33 p.m.
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View source: R/fun_LinearLink.R
Description
Estimate bx using least square method and vx with SVD
Usage
1 | fitw_LSE(log_ex_theta, log_mx, nu = 1, nv = 1)
|
Arguments
log_ex_theta |
Life expectancy at age theta (log values) |
log_mx |
death rates (log values) |
nu |
The number of left singular vectors to be computed in SVD method.
This must between 0 and n = nrow(x). See |
nv |
the number of right singular vectors to be computed.
This must be between 0 and p = ncol(x). See |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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