npIpmBurke: Burke interior-point weight solver (nonparametric maximum...
In nlmixr2est: Nonlinear Mixed Effects Models in Population PK/PD, Estimation Routines
npIpmBurke R Documentation
Burke interior-point weight solver (nonparametric maximum likelihood)
Description
Solves the convex nonparametric-maximum-likelihood weight problem for a fixed
set of support points: given the likelihood matrix psi (subjects in
rows, support points in columns) it returns the maximum-likelihood mixing
weights and the objective (log-likelihood). Exposed for testing the C++
interior-point routine against golden fixtures.
Usage
npIpmBurke(psi)
Arguments
psi
Numeric matrix, psi[i, k] = p(y_i | support point k), with
subjects in rows and support points in columns.
Value
A list with weights (length ncol(psi), non-negative,
summing to 1) and objective (the maximized log-likelihood).
nlmixr2est documentation built on Aug. 5, 2026, 1:11 a.m.
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| npIpmBurke | R Documentation |
Burke interior-point weight solver (nonparametric maximum likelihood)
Description
Solves the convex nonparametric-maximum-likelihood weight problem for a fixed
set of support points: given the likelihood matrix psi (subjects in
rows, support points in columns) it returns the maximum-likelihood mixing
weights and the objective (log-likelihood). Exposed for testing the C++
interior-point routine against golden fixtures.
Usage
npIpmBurke(psi)
Arguments
psi |
Numeric matrix, |
Value
A list with weights (length ncol(psi), non-negative,
summing to 1) and objective (the maximized log-likelihood).
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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