Description Usage Arguments Value Author(s) See Also Examples
Given a multivariate distribution, the conditional distribution is computed when the variables with the given indices are set to the given values.
1 | conditional(object, v, val)
|
object |
A multivariate probability distribution. |
v |
A vector of the indices of the variables whose values should be fixed. |
val |
A vector, of the same length as |
An object representing the conditional probability distribution.
Petter Mostad <mostad@chalmers.se>
1 2 3 4 5 | prior <- normalexpgamma() #Generate a two-parameter flat prior
full <- linearpredict(prior, rep(1, 7)) #Normal extension
data <- simulate(uniformdistribution(), 7) #Generate data
posterior <- conditional(full, 1:7, data) #Condition on parameters
credibilityinterval(marginal(posterior, 1)) #Investigate posterior
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