compute_loadings: Posterior summary of participant factor loadings
In bayesqm: Bayesian Q Methodology: Probabilistic Factor Analysis
compute_loadings R Documentation
Posterior summary of participant factor loadings
Description
Posterior mean and central credible-interval bounds for each
participant-factor loading, returned as a tidy data frame with one
row per participant and three columns per factor.
Usage
compute_loadings(Lambda_draws, prob = 0.95)
Arguments
Lambda_draws
Array of shape [T, N, K] of MatchAlign-aligned
loading draws (e.g. fit$Lambda_draws).
prob
Coverage probability for the credible interval
(default 0.95).
Value
A data frame with columns participant, and three numeric
columns per factor: fk_loa (posterior mean), fk_lower, and
fk_upper, for k = 1..K.
bayesqm documentation built on June 18, 2026, 1:07 a.m.
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| compute_loadings | R Documentation |
Posterior summary of participant factor loadings
Description
Posterior mean and central credible-interval bounds for each participant-factor loading, returned as a tidy data frame with one row per participant and three columns per factor.
Usage
compute_loadings(Lambda_draws, prob = 0.95)
Arguments
Lambda_draws |
Array of shape |
prob |
Coverage probability for the credible interval (default 0.95). |
Value
A data frame with columns participant, and three numeric
columns per factor: fk_loa (posterior mean), fk_lower, and
fk_upper, for k = 1..K.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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