coef.lmmelsm | Extract group-specific coefficients. |
dot-add_group_codings | Adds group codings for predictive df. |
dot-combine_RHS | Combines multiple formulas' RHS into one. |
dot-detect_L2_only | Detect whether the predictors are L2-only |
dot-full_to_lower_tri | Get indices for subsetting lower-tri summaries of square... |
dot-get_elapsed_time | Gets elapsed time. |
dot-get_formula_names | Get names in formula. |
dot-get_indicator_spec | Get indicator spec for stan model. |
dot-get_LHS | Get LHS variable as string. |
dot-get_RHS | Get RHS terms or variables. |
dot-list_zip | Zip two lists together with function. |
dot-magicsep | Convert char vector to columns. |
dot-newline | Print newline. |
dot-parse_formula | Convert spec to stan data. |
dot-parse_formula.indicators | Compute indicator data. |
dot-parse_formula.predictor | Compute predictor data. |
dot-pars_to_indices | Convert stan par-string to numeric columns. |
dot-sep | Print separator. |
dot-simulate.X | Simulate covariates without correlation. |
dot-summarize | Compute posterior summaries. |
dot-summary_rearrange | Rearrange summary output. |
dot-tidy_summary | Takes stan summary, returns summary with indices-as-columns. |
dot-which_location_scale | Check for location-scale formulas |
fitted.lmmelsm | Extracted model fitted variates. |
grapes-IfNull-grapes | Operator for testing NULL and returning expr if NULL |
lmmelsm | Specify and fit the (latent) (multivariate) melsm. |
LMMELSM-package | The 'LMMELSM' package. |
loo.lmmelsm | loo method for LMMELSM objects. |
nlist | Creates named list. |
predict.lmmelsm | Predict method for lmmelsm objects. |
print.lmmelsm | Print method for lmmelsm objects. |
print.summary.lmmelsm | Print method for summary.lmmelsm objects. |
ranef.lmmelsm | Extract random effects. |
row_multiply_list_mats | Multiply a row by a list of matrices |
sim_data | Simulated data for fitting the LMMELSM |
simulate_lmmelsm | Simulate data from latent uni/multidimensional MELSM |
summary.lmmelsm | Summary method for lmmelsm objects. |
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