score_tirt_lavaan: Fast, Analytical Trait Scoring for Second-Order TIRT using...
In autoFC: Automatic Toolkit for Construction, Optimization, Scoring and Simulation of Forced-Choice Tests
View source: R/score_tirt_lavaan.R
score_tirt_lavaan R Documentation
Fast, Analytical Trait Scoring for Second-Order TIRT using optim()
Description
Calculates MAP trait scores and Standard Errors for a fitted
lavaan model. Automatically detects whether the model uses the First-Order
(TIRT) or Second-Order (TFM) parameterization.
Usage
score_tirt_lavaan(fit, data, trait_names = NULL, floor_value = 1e-04)
Arguments
fit
A fitted lavaan object.
data
The pairwise binary dataset used to fit the model.
trait_names
Character vector of the traits to score (e.g., c("Trait1", "Trait2")).
Can be left NULL and detected by the function.
floor_value
Numeric. If negative residual variances for observed variables are provided,
replace those negative residual variances with this floor value.
Value
A data frame containing Trait scores and their Standard Errors (SE).
autoFC documentation built on July 14, 2026, 5:07 p.m.
R Package Documentation
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View source: R/score_tirt_lavaan.R
| score_tirt_lavaan | R Documentation |
Fast, Analytical Trait Scoring for Second-Order TIRT using optim()
Description
Calculates MAP trait scores and Standard Errors for a fitted lavaan model. Automatically detects whether the model uses the First-Order (TIRT) or Second-Order (TFM) parameterization.
Usage
score_tirt_lavaan(fit, data, trait_names = NULL, floor_value = 1e-04)
Arguments
fit |
A fitted lavaan object. |
data |
The pairwise binary dataset used to fit the model. |
trait_names |
Character vector of the traits to score (e.g., c("Trait1", "Trait2")). Can be left NULL and detected by the function. |
floor_value |
Numeric. If negative residual variances for observed variables are provided, replace those negative residual variances with this floor value. |
Value
A data frame containing Trait scores and their Standard Errors (SE).
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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