mode_approx: Gibbs sample mode
In RprobitB: Bayesian Probit Choice Modeling
mode_approx R Documentation
Gibbs sample mode
Description
This function approximates the Gibbs sample mode.
Usage
mode_approx(samples)
Arguments
samples
[numeric()]
Gibbs samples.
Value
The (approximated) mode.
Examples
samples <- oeli::rmixnorm(
n = 1000, mean = matrix(c(-2, 2), ncol = 2),
Sigma = matrix(c(1, 1), ncol = 2), proportions = c(0.7, 0.3)
)
hist(samples)
mean(samples) # expected: 0.7 * (-2) + 0.3 * 2 = -0.8
mode_approx(samples) # expected: -2
RprobitB documentation built on Aug. 26, 2025, 1:08 a.m.
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| mode_approx | R Documentation |
Gibbs sample mode
Description
This function approximates the Gibbs sample mode.
Usage
mode_approx(samples)
Arguments
samples |
[ |
Value
The (approximated) mode.
Examples
samples <- oeli::rmixnorm(
n = 1000, mean = matrix(c(-2, 2), ncol = 2),
Sigma = matrix(c(1, 1), ncol = 2), proportions = c(0.7, 0.3)
)
hist(samples)
mean(samples) # expected: 0.7 * (-2) + 0.3 * 2 = -0.8
mode_approx(samples) # expected: -2
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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