| calc.a.optimality | calculate A-optimality |
| calc.d.optimality | Calculate D-optimality |
| calc.info.block | MFC block information |
| calc.info.block.r2 | information for one block in R2 metric |
| calc.info.plot | compute information for plots |
| calc.info.trace | Trace of information matrix |
| calc.pattern.info | information for a single ranking pattern |
| calc.rel.emp | empirical reliability based on factor scores |
| calc.testinfo.1d | Testinfo 1D |
| calc.testinfo.plot | compute testinformation for plots |
| create.block.ind | block.ind |
| create.blocks.int | Intercept indices |
| create.design.block | generate design matrix for one block |
| create.design.mat | MFC design matrix |
| create.grid | Create grid of traits |
| create.perms.int | pair intercept indices for each permutation |
| create.tr | internal: create matrix of sequential comparisons |
| create.traits.blocks | Extract traits from loading matrix |
| est.hessian | Estimate traits based on genuine likelihood |
| est.MAP | Estimate traits based on genuine likelihood |
| info2se | convert information to SEs |
| lh | likelihood across all questionnaire items |
| lh.all | round2 |
| lhb.mplus | Likelihood Mplus |
| load2mat | load2mat |
| name.items | name.items |
| nm | nm |
| out2blocks | out2blocks |
| out2perm | Outcomes to indices for permutations |
| permute | permute |
| plot.block | plot block information |
| plot.testinfo | plot testinformation |
| sample.traits | sample traits from multivariate normal distribution with one... |
| select.greedy | select blocks based on greedy algorithm |
| select.optimal | Select Optimal Block Combination |
| sim.items | generate item parameters |
| sim.responses | simulate responses under Thurstonian IRT model |
| uni2mat | Uniqueness matrix |
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