MIRES

The 'MIRES' package.

Compute BF(Less than)

Unidimensional data generation.

Create dirichletprocess (exponential) based density function.

Create Stan-based spike-mixture DP based density estimation function.

Create Stan-based density function.

Density for hmre prior on RE SDs.

Implied density for pairwise differences given HMRE prior.

Create logspline-based density function.

Combine all unique RHS entries into one RHS formula.

Get the one-length LHS of formula as string.

Get terms from formula list

Get RHS of formula as character vector.

Compute Highest Posterior Density intervals.

Generates indicator spec list.

Outer subtraction for given params across MCMC samples.

Parse formula (list).

Compute all differences of vector.

Generate labels for all differences of vector.

Stick-breaking function.

Paper simulation function (For historical purposes)

Fit mixed effects measurement model for invariance assessment.

Pairwise comparisons of random parameters.

Create marginal posterior density function approximations for random effect SDs

Prediction for DP density estimation models.

Print function for mires objects.

Print method for MIRES summary objects.

Extract random effects of each group from MIRES model.

Random sampling from hmre prior on RE SDs.

Simulated data: All parameters vary (Full non-invariance)

Simulated data: Intercepts vary

Simulated data: Half the items are non-invariant.

Simulated data: Loadings vary

Simulated data: No variance (Full invariance)

Simulated data: Residual variances vary

Generate Truncated Dirichlet Process Mixture.

Split stan names into a list of parameter names (char vec) and (col-named) matrix of numeric indices.

Summary method for mires object.

Tidy up a vector of stan names into a data frame.