lre: lre
In dfeehan/mortfit: Fit and evaluate mortality models
Description
Usage
Arguments
Value
Description
compute the log10 relative error in an
estimated versus a true parameter vector.
this is useful for unit tests to be sure
optimization routines are well-behaved
see Altman et al, "Numerical Issues in
Statistical Computing...", pg 54
TODO – come back to this; j is not defined
in their expression (3.4)!
Usage
1
lre(theta.true, theta.hat, j = 1)
Arguments
theta.true
the true parameter vector
theta.hat
the estimated parameter vector
j
scaling factor
Value
a vector of the same length as theta.true
dfeehan/mortfit documentation built on Nov. 14, 2020, 9:04 p.m.
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Description Usage Arguments Value
Description
compute the log10 relative error in an estimated versus a true parameter vector. this is useful for unit tests to be sure optimization routines are well-behaved see Altman et al, "Numerical Issues in Statistical Computing...", pg 54 TODO – come back to this; j is not defined in their expression (3.4)!
Usage
1 | lre(theta.true, theta.hat, j = 1)
|
Arguments
theta.true |
the true parameter vector |
theta.hat |
the estimated parameter vector |
j |
scaling factor |
Value
a vector of the same length as theta.true
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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