score_cfc_lavaan: Full-Information Closed-Form Trait Scoring for Compositional...
In autoFC: Automatic Toolkit for Construction, Optimization, Scoring and Simulation of Forced-Choice Tests
View source: R/score_cfc_lavaan.R
score_cfc_lavaan R Documentation
Full-Information Closed-Form Trait Scoring for Compositional FC Models
Description
Calculates exact, full-information MAP trait scores and Standard Errors
for a fitted compositional forced-choice model, preserving all within-block local dependencies.
Usage
score_cfc_lavaan(fit, data, trait_names = NULL)
Arguments
fit
A fitted lavaan object from a compositional model, generated from cfa() function
with the syntax built from generate_cfc_lavaan_syntax().
data
The log-ratio dataset used to fit the model.
trait_names
Optional character vector of the traits to score.
Value
A data frame containing the exact trait scores, followed by all standard errors (SE) of the traits.
autoFC documentation built on July 14, 2026, 5:07 p.m.
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View source: R/score_cfc_lavaan.R
| score_cfc_lavaan | R Documentation |
Full-Information Closed-Form Trait Scoring for Compositional FC Models
Description
Calculates exact, full-information MAP trait scores and Standard Errors for a fitted compositional forced-choice model, preserving all within-block local dependencies.
Usage
score_cfc_lavaan(fit, data, trait_names = NULL)
Arguments
fit |
A fitted lavaan object from a compositional model, generated from |
data |
The log-ratio dataset used to fit the model. |
trait_names |
Optional character vector of the traits to score. |
Value
A data frame containing the exact trait scores, followed by all standard errors (SE) of the traits.
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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