Last data update: 2014.03.03
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R: Internal functions in the PSM-package.
Internal functions | R Documentation |
Internal functions in the PSM-package.
Description
Internal functions in the PSM-package.
Usage
APL.KF(THETA, Model, Pop.Data, LB = NULL, UB = NULL, GUIFlag = 0, longOutput = FALSE,
fast=TRUE,Linear=NULL)
APL.KF.gr(THETA, Model, Pop.Data, LB = NULL, UB = NULL, GradSTEP = 1e-04, GUIFlag = 0,
fast=TRUE,Linear=NULL)
APL.KF.individualloop(theta, OMEGA, Model, Data, GUIFlag = 0, fast=TRUE,Linear)
CutThirdDim(a)
ExtKalmanFilter(phi, Model, Data, outputInternals = FALSE)
ExtKalmanSmoother(phi, Model, Data)
IndividualLL.KF(eta, theta, OMEGA, Model, Data, fast=TRUE,Linear=NULL)
IndividualLL.KF.gr(eta, theta, OMEGA, Model, Data, GradSTEP = 1e-04, GUIFlag = 0,
fast=TRUE,Linear=NULL)
LinKalmanFilter(phi, Model, Data, echo = FALSE, outputInternals = FALSE, fast=TRUE)
LinKalmanSmoother(phi, Model, Data)
ModelCheck(Model, Data, Par,DataHasY=TRUE)
logit(x, xmin, xmax)
invlogit(y, xmin, xmax)
Details
APK.KF -
evaluates the population likelihood function.
APK.KF.gr -
evaluates the gradient of APL.KF.
APL.KF.individualloop -
contains the innner loop over individuals for APL.KF.
CutThirdDim -
removes third and higher dimensions of
dim-attribute for an array and thus creating a matrix.
ExtKalmanFilter -
Performs a Extended Kalman filtering.
ExtKalmanSmoother -
performs a non-linear Kalman smoothing.
IndividualLL.KF -
evaluates the indivdual neg. log-likelihood function.
IndividualLL.KF.gr -
evaluates the gradient of the indivdual neg. log-likelihood function.
LinKalmanFilter -
performs a linear Kalman filtering.
LinKalmanSmoother -
performs a linear Kalman smoothing.
ModelCheck -
checks for dimensionalities and model objects. Furthermore it
tests the Model objects and the dimensions in the Data set.
logit -
gives logit transformation of a vector.
invlogit -
gives invlogit transformation of a vector.
Author(s)
Stig B. Mortensen and S<c3><b8>ren Klim
See Also
PSM
Results
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