eval_const: Evaluate a constraint matrix for a set of prior/posterior...
In BayesianPower: Sample Size and Power for Comparing Inequality Constrained Hypotheses
Description
Usage
Arguments
Value
Description
Evaluate a constraint matrix for a set of prior/posterior samples
Usage
1
eval_const(hyp, samples)
Arguments
hyp
A constraint matrix defining a hypothesis.
samples
A matrix. Prior or posterior samples, the number of columns
corresponds to the number of groups, the number of rows the number of samples
Value
A number between 0 and 1. The proportion of samples in which the
constraints are met.
BayesianPower documentation built on July 1, 2020, 6:02 p.m.
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Description Usage Arguments Value
Description
Evaluate a constraint matrix for a set of prior/posterior samples
Usage
1 | eval_const(hyp, samples)
|
Arguments
hyp |
A constraint matrix defining a hypothesis. |
samples |
A matrix. Prior or posterior samples, the number of columns corresponds to the number of groups, the number of rows the number of samples |
Value
A number between 0 and 1. The proportion of samples in which the constraints are met.
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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