fr.prob.nonzero: Maximization function for B-spline zero-inflation probability...
In BayesDecon: Density Deconvolution Using Bayesian Semiparametric Methods
View source: R/likelihood_optimizers.R
fr.prob.nonzero R Documentation
Maximization function for B-spline zero-inflation probability function
parameter initialization in bdeconv()
Description
Maximization function for B-spline zero-inflation probability function
parameter initialization in bdeconv()
Usage
fr.prob.nonzero(log_diff_thetas, xs, knots.t, P.t, s2t, probs.emp)
Arguments
log_diff_thetas
Spline parameters.
xs
Data values.
knots.t
Knot points.
P.t
Penalty matrix.
s2t
Variance
probs.emp
Empirical consumption probability.
Value
A score to be maximized.
BayesDecon documentation built on March 15, 2026, 1:06 a.m.
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View source: R/likelihood_optimizers.R
| fr.prob.nonzero | R Documentation |
Maximization function for B-spline zero-inflation probability function
parameter initialization in bdeconv()
Description
Maximization function for B-spline zero-inflation probability function
parameter initialization in bdeconv()
Usage
fr.prob.nonzero(log_diff_thetas, xs, knots.t, P.t, s2t, probs.emp)
Arguments
log_diff_thetas |
Spline parameters. |
xs |
Data values. |
knots.t |
Knot points. |
P.t |
Penalty matrix. |
s2t |
Variance |
probs.emp |
Empirical consumption probability. |
Value
A score to be maximized.
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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