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Item Parameters (Internals)

Psychometrics.add_prior! — Method
add_prior!(
    parameters::AbstractParameters,
    prior::Distributions.MultivariateDistribution,
)

Description

It assigns the prior prior to a AbstractParameters instance.

Arguments

  • parameters::AbstractParameters : Required. Any type of parameters object.
  • prior::Distributions.Distribution : Required. A <n>-variate probability distribution where <n> > 1 and is the numebr of item parameters in parameters.

Examples

parameters2PL = Parameters2PL()
bivariate_normal = Distributions.MultivariateNormal([0,0], LinearAlgebra.I(2))
_add_prior!(parameters2PL, bivariate_normal)
source
Psychometrics.add_prior! — Method
add_prior!(
    parameters::AbstractParameters,
    priors::Vector{Distributions.UnivariateDistribution},
)

Description

It transforms the vector priors of univariate distributions to their products and assign it to AbstractParameters instance.

Arguments

  • parameters::AbstractParameters : Required. Any type of parameters object.
  • priors::Vector{Distributions.UnivariateDistribution} : Required. A vector of probability distributions. The size of the vector must be the same as the number of item parameters.

Examples

parameters2PL = Parameters2PL()
a_dist = Distributions.Normal(0,1)
b_dist = Distributions.Normal(0,1)
_add_prior!(parameters2PL, [a_dist, b_dist])
source
Psychometrics._add_posterior! — Method
_add_posterior!(
    parameters::AbstractParameters,
    posterior::Distributions.Distribution,
)

Description

It assigns the <n>-variate posterior distribution to a AbstractParameters instance with <n> parameters.

Arguments

  • parameters::AbstractParameters : Required. Any type of parameters object.
  • posterior::Distributions.Distribution : Required. A <n>-variate probability distribution where <n> > 1 and is the numebr of item parameters in parameters.

Examples

parameters2PL = Parameters2PL()
bivariate_normal = Distributions.MultivariateNormal([0,0], LinearAlgebra.I(2))
_add_posterior!(parameters2PL, bivariate_normal)
source
Psychometrics._add_posterior! — Method
_add_posterior!(
    parameters::AbstractParameters,
    posteriors::Vector{Distributions.UnivariateDistribution},
)

Description

It transforms the vector posteriors of univariate distributions to their products and assign it to AbstractParameters instance.

Arguments

  • parameters::AbstractParameters : Required. Any type of parameters object.
  • posteriors::Vector{Distributions.UnivariateDistribution} : Required. A vector of probability distributions. The size of the vector must be the same as the number of parameters.

Examples

parameters2PL = Parameters2PL()
a_dist = Distributions.Normal(0,1)
b_dist = Distributions.Normal(0,1)
_add_posterior!(parameters2PL, [a_dist, b_dist])
source