HP.pri.start: Estimation of starting values for priors of the...
In strandCet: Estimation of Biological Parameters from Stranded Cetaceans
Description
Usage
Arguments
Value
References
See Also
Description
Estimates starting values for the priors of the modified 9-parameter Heligman-Pollard model from mortality rates by age and proportion of individuals death from non natural causes.
Usage
1
2
HP.pri.start(Si.qx, Prop.risk, Life.qx, age, rg = 0.25,
control = nls.lm.control(maxiter = 100))
Arguments
Si.qx
A vector of the same length as "age" containing the total mortality rates by age (qx).
Prop.risk
A vector of the same length as "age" containing the proportion of death animals identified as death by external effects (other different than natural mortality).
Life.qx
Mortality vector qx form life table created with life.tab.
age
A vector containing the ages at which each age interval begins.
rg
The variation of the range at which the mean prior values will be multiplied to calculate low and high limits.
control
Allow the user to set some characteristics Levenberg-Marquardt nonlinear least squares algorithm implemented in nls.lm. see nls.lm.control
Value
A dataframe with low, high and mean starting values for priors, to be used for fitting a adapted 9-parametres Heligman-Pollard model
References
Heligman, L. and Pollard, J.H. (1980). The Age Pattern of Mortality. Journal of the Institute of Actuaries 107:49<e2><80><93>80.
Mor<c3><a9>, J.J. (1978). The Levenberg-Marquardt algorithm: implementation and theory, in: Lecture Notes in Mathematics 630: Numerical Analysis, G.A. Watson (Ed.), Springer-Verlag: Berlin, pp. 105-116.
See Also
HP.priors HP.mod nlsLM life.tab
strandCet documentation built on May 1, 2019, 8:19 p.m.
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Description Usage Arguments Value References See Also
Description
Estimates starting values for the priors of the modified 9-parameter Heligman-Pollard model from mortality rates by age and proportion of individuals death from non natural causes.
Usage
1 2 | HP.pri.start(Si.qx, Prop.risk, Life.qx, age, rg = 0.25,
control = nls.lm.control(maxiter = 100))
|
Arguments
Si.qx |
A vector of the same length as "age" containing the total mortality rates by age (qx). |
Prop.risk |
A vector of the same length as "age" containing the proportion of death animals identified as death by external effects (other different than natural mortality). |
Life.qx |
Mortality vector qx form life table created with life.tab. |
age |
A vector containing the ages at which each age interval begins. |
rg |
The variation of the range at which the mean prior values will be multiplied to calculate low and high limits. |
control |
Allow the user to set some characteristics Levenberg-Marquardt nonlinear least squares algorithm implemented in nls.lm. see nls.lm.control |
Value
A dataframe with low, high and mean starting values for priors, to be used for fitting a adapted 9-parametres Heligman-Pollard model
References
Heligman, L. and Pollard, J.H. (1980). The Age Pattern of Mortality. Journal of the Institute of Actuaries 107:49<e2><80><93>80.
Mor<c3><a9>, J.J. (1978). The Levenberg-Marquardt algorithm: implementation and theory, in: Lecture Notes in Mathematics 630: Numerical Analysis, G.A. Watson (Ed.), Springer-Verlag: Berlin, pp. 105-116.
See Also
HP.priors HP.mod nlsLM life.tab
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