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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