https://gmoncayoj.r-universe.devRecent package updates in gmoncayojR-universehttps://github.com/gmoncayoj.pnghttps://gmoncayoj.r-universe.devTue, 23 Jun 2026 01:54:48 GMTgamarramoncayoj@gmail.com (Jose Gamarra-Moncayo)Automates common psychometric workflows for applied researchers, including item descriptives, inter-item correlations, exploratory and confirmatory factor analysis, reliability, multi-group measurement invariance, and alignment optimization. Decision heuristics are informed by procedures such as parallel analysis (Horn, 1965, <doi:10.1007/BF02289447>), multivariate normality diagnostics (Mardia, 1970, <doi:10.1093/biomet/57.3.519>), measurement-invariance fit-change rules (Chen, 2007, <doi:10.1080/10705510701301834>), and alignment optimization (Asparouhov and Muthen, 2014, <doi:10.1080/10705511.2014.919210>), among others. Results can be returned as structured R objects and exported as bilingual reports for transparent analytical documentation.https://github.com/r-universe/gmoncayoj/actions/runs/28433851477Tue, 23 Jun 2026 01:54:48 GMTPsychoMatic0.3.0successhttps://gmoncayoj.r-universe.devhttps://github.com/gmoncayoj/psychomaticalignment-invariance.Rmdalignment-invariance.htmlAlignment Invariance Workflow2026-06-17 04:57:202026-06-17 04:57:20cfa-workflow.Rmdcfa-workflow.htmlConfirmatory Factor Analysis Workflow2026-06-17 04:57:202026-06-17 04:57:20efa-workflow.Rmdefa-workflow.htmlExploratory Factor Analysis Workflow2026-06-17 04:57:202026-06-17 04:57:20psychomatic-introduction.Rmdpsychomatic-introduction.htmlGetting Started with PsychoMatic2026-06-17 04:57:202026-06-17 04:57:20measurement-invariance.Rmdmeasurement-invariance.htmlMeasurement Invariance Workflow2026-06-17 04:57:202026-06-17 04:57:20