compute_zscores: Posterior summary of statement factor z-scores
In bayesqm: Bayesian Q Methodology: Probabilistic Factor Analysis
compute_zscores R Documentation
Posterior summary of statement factor z-scores
Description
Posterior mean and central credible-interval bounds for each
statement-factor z-score, returned as a tidy data frame with one row
per statement and three columns per factor.
Usage
compute_zscores(F_draws, prob = 0.95)
Arguments
F_draws
Array of shape [T, J, K] of MatchAlign-aligned
factor-score draws (e.g. fit$F_draws).
prob
Coverage probability for the credible interval.
Value
A data frame with columns statement, and three numeric
columns per factor: fk_zsc (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_zscores | R Documentation |
Posterior summary of statement factor z-scores
Description
Posterior mean and central credible-interval bounds for each statement-factor z-score, returned as a tidy data frame with one row per statement and three columns per factor.
Usage
compute_zscores(F_draws, prob = 0.95)
Arguments
F_draws |
Array of shape |
prob |
Coverage probability for the credible interval. |
Value
A data frame with columns statement, and three numeric
columns per factor: fk_zsc (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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