Man pages for MIRES
Measurement Invariance Assessment Using Random Effects Models and Shrinkage
| bflt | Compute BF(Less than) |
| datagen_uni | Unidimensional data generation. |
| ddirichletprocess | Create dirichletprocess (exponential) based density function. |
| ddirichletprocess_spike | Create Stan-based spike-mixture DP based density estimation... |
| ddirichletprocess_stan | Create Stan-based density function. |
| dhmre | Density for hmre prior on RE SDs. |
| dhmre_pairwise | Implied density for pairwise differences given HMRE prior. |
| dlogspline | Create logspline-based density function. |
| dot-combine_RHS | Combine all unique RHS entries into one RHS formula. |
| dot-formula_lhs | Get the one-length LHS of formula as string. |
| dot-formula_names | Get terms from formula list |
| dot-formula_rhs | Get RHS of formula as character vector. |
| dot-hdi | Compute Highest Posterior Density intervals. |
| dot-indicator_spec | Generates indicator spec list. |
| dot-pairwise_diff_single | Outer subtraction for given params across MCMC samples. |
| dot-parse_formula | Parse formula (list). |
| dot-sample_diff | Compute all differences of vector. |
| dot-sample_diff_labels | Generate labels for all differences of vector. |
| generateData | Paper simulation function (For historical purposes) |
| genStickBreakPi | Stick-breaking function. |
| mires | Fit mixed effects measurement model for invariance... |
| MIRES-package | The 'MIRES' package. |
| pairwise | Pairwise comparisons of random parameters. |
| posterior_density_funs_sigmas | Create marginal posterior density function approximations for... |
| predict_DP | Prediction for DP density estimation models. |
| print.mires | Print function for mires objects. |
| print.summary.mires | Print method for MIRES summary objects. |
| ranef.mires | Extract random effects of each group from MIRES model. |
| rhmre | Random sampling from hmre prior on RE SDs. |
| sim_all | Simulated data: All parameters vary (Full non-invariance) |
| sim_intercepts | Simulated data: Intercepts vary |
| sim_items | Simulated data: Half the items are non-invariant. |
| sim_loadings | Simulated data: Loadings vary |
| sim_none | Simulated data: No variance (Full invariance) |
| sim_resid | Simulated data: Residual variances vary |
| simulate_DP | Generate Truncated Dirichlet Process Mixture. |
| split_stannames | Split stan names into a list of parameter names (char vec)... |
| summary.mires | Summary method for mires object. |
| tidy_stanpars | Tidy up a vector of stan names into a data frame. |
