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PsyMetricTools 1.2.1

CRAN fixes

• The PDF manual now builds without LaTeX errors: the Unicode symbols >=, <=, -> and R^2 are written in portable form in the documentation of boot_cfa_plot_enhanced(), plot_mediation_chord(), plot_mediation_donuts() and plot_path_mediation(). This was the error that caused the 1.2.0 submission to be archived by CRAN.
• DESCRIPTION now declares R (>= 4.1.0), required by the use of the native pipe |> / lambda \(...) syntax in invertir_items() and split_data_stratified_clustered().

Improvements

• plot_path_cfa() rewritten: latent variables as circles, observed variables as rectangles, fan-out arrows, black-and-white default.

PsyMetricTools 1.2.0

Improvements

• plot_multi_sem() now supports multi-row panel layouts via the new nrow and ncol arguments. By default it keeps the previous behaviour (a single row with one column per model); when a grid is requested, leftover cells are left blank. Saved-figure dimensions scale with the grid (width_per per column, height per row).

PsyMetricTools 1.0.0

• Initial CRAN submission

Features

Data Preprocessing

• filtrar_aberrantes() - Filter aberrant response patterns using Mahalanobis distance
• invertir_items() - Reverse score items
• split_data_two() / split_data_three() - Split data for cross-validation
• smote_multiclass() - SMOTE oversampling for imbalanced multiclass data

Exploratory Factor Analysis (EFA)

• EFA_modern() - Modern EFA with multiple rotation options
• EFA_plot() - Visualize factor loadings
• Standardized_solutions() - Extract standardized EFA solutions
• boot_efa() - Bootstrap EFA for stability analysis
• efa_with_bootstrap() - EFA with bootstrap resampling

Confirmatory Factor Analysis (CFA)

• multi_cfa() - Fit multiple CFA models
• Standardized_solutions_cfa() - Extract standardized CFA solutions
• boot_cfa() - Bootstrap CFA for stability analysis
• boot_cfa_stability() - CFA stability across sample sizes

Measurement Invariance

• easy_invariance() - Measurement invariance analysis with ordinal data following Wu and Estabrook (2016)

Visualization

• Plot_Likert() / Plot_Likert2() - Likert scale visualizations
• boot_cfa_plot() - Bootstrap CFA results visualization
• boot_cfa_density() - Bootstrap distribution density plots
• boot_cfa_raincloud() - Raincloud plot visualizations
• boot_efa_plot() / boot_efa_forest_plot() - Bootstrap EFA visualizations
• plot_cfa_stability() family - CFA stability visualizations

Reliability

• calcula_omega_mcdonald() - McDonald’s omega coefficient

Utilities

• save_to_excel_table() - Export results to Excel
• create_groups() - Create item groups for factor definitions
• Model syntax generators for lavaan

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.