SurvFn.ex.4p: The extrinsic cumulative survival distribution function for...
In vitality: Fitting Routines for the Vitality Family of Mortality Models
Description
Usage
Arguments
Details
Value
See Also
Description
Gives the cumulative survival proportions at xx from extrinsic process for a given set of parameter values.
Usage
1
SurvFn.ex.4p(xx, r, s, lambda, beta)
Arguments
xx
vector of ages
r
r value
s
s value
lambda
lambda value
beta
beta value
Details
Used within vitality.4p for estimating model parameters based on the observed cumulative survival function.
Value
vector of cumulative survival proportions at xx from extrinsic process
See Also
vitality.4p, survProbInc.4p, SurvFn.4p, SurvFn.in.4p
vitality documentation built on May 14, 2018, 1:04 a.m.
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Description Usage Arguments Details Value See Also
Description
Gives the cumulative survival proportions at xx from extrinsic process for a given set of parameter values.
Usage
1 | SurvFn.ex.4p(xx, r, s, lambda, beta)
|
Arguments
xx |
vector of ages |
r |
r value |
s |
s value |
lambda |
lambda value |
beta |
beta value |
Details
Used within vitality.4p for estimating model parameters based on the observed cumulative survival function.
Value
vector of cumulative survival proportions at xx from extrinsic process
See Also
vitality.4p, survProbInc.4p, SurvFn.4p, SurvFn.in.4p
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.
As an Amazon Associate I earn from qualifying purchases.
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