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psychonetrics  

Structural Equation Modeling and Confirmatory Network Analysis
View on CRAN: Click here


Download and install psychonetrics package within the R console
Install from CRAN:
install.packages("psychonetrics")

Install from Github:
library("remotes")
install_github("cran/psychonetrics")

Install by package version:
library("remotes")
install_version("psychonetrics", "0.13")



Attach the package and use:
library("psychonetrics")
Maintained by
Sacha Epskamp
[Scholar Profile | Author Map]
First Published: 2019-06-28
Latest Update: 2023-10-03
Description:
Multi-group (dynamical) structural equation models in combination with confirmatory network models from cross-sectional, time-series and panel data . Allows for confirmatory testing and fit as well as exploratory model search.
How to cite:
Sacha Epskamp (2019). psychonetrics: Structural Equation Modeling and Confirmatory Network Analysis. R package version 0.13, https://cran.r-project.org/web/packages/psychonetrics. Accessed 09 Apr. 2025.
Previous versions and publish date:
0.3.2 (2019-06-28 14:20), 0.3.3 (2019-07-06 19:20), 0.4.1 (2019-12-18 03:10), 0.4 (2019-12-17 16:00), 0.5.0 (2020-01-25 12:40), 0.5.1 (2020-01-27 00:20), 0.6 (2020-02-21 20:20), 0.7.1 (2020-04-15 11:20), 0.7.2 (2020-06-24 19:20), 0.7 (2020-04-01 23:00), 0.8.1 (2021-01-28 22:20), 0.8 (2020-10-26 22:50), 0.9 (2021-02-23 15:30), 0.10 (2021-10-25 23:30), 0.11.5 (2023-10-03 13:00), 0.11.6 (2024-04-05 08:10), 0.11 (2023-06-05 13:40), 0.12 (2024-05-21 11:20)
Other packages that cited psychonetrics R package
View psychonetrics citation profile
Other R packages that psychonetrics depends, imports, suggests or enhances
Complete documentation for psychonetrics
Functions, R codes and Examples using the psychonetrics R package
Some associated functions: CIplot . Ising . Jonas . MIs . StarWars . algebraMatrices . bifactor . bootstrap . changedata . compare . convenience . covML . dlvm1_family . emergencystart . esa . factorscores . fit . fixpar_freepar . generate . getVCOV . getmatrix . groupequal_groupfree . latentgrowth . lvm_family . meta_varcov . ml_lvm . ml_tsdlvm1 . modelsearch . modelupdate . parameters . parequal . partialprune . prune . psychonetrics-class . psychonetrics-package . runmodel . setverbose . simplestructure . stepup . tsdlvm1_family . unionmodel_intersectionmodel . var1_family . varcov_family . 
Some associated R codes: 00_codeOrganization.R . 00_steps_to_implement_distribution.R . 00_steps_to_implement_estimator.R . 00_steps_to_implement_model.R . 01_classes.R . 02_algebrahelpers_Solve.R . 02_algebrahelpers_blockToeplitz.R . 02_algebrahelpers_checkJacobian.R . 02_algebrahelpers_expected_latent_residual_covs.R . 02_algebrahelpers_expectedmodel.R . 02_algebrahelpers_kronecker.R . 02_algebrahelpers_lavUtils.R . 02_algebrahelpers_matrixexponent.R . 02_algebrahelpers_modelMatrix.R . 02_algebrahelpers_quantiletransform.R . 02_algebrahelpers_spectralshift.R . 02_algebrahelpers_trysolve.R . 02_algebrahelpers_vectorize.R . 02_algebrahelpers_vectorizeMatrices.R . 02_algebrahelpers_weighted_geomean.R . 02_modelformation_PCCPDC.R . 03_modelformation_adjust_p_values.R . 03_modelformation_defaultoptimizer.R . 03_modelformation_factorstart.R . 03_modelformation_fixAdj.R . 03_modelformation_fixMatrix.R . 03_modelformation_fixMu.R . 03_modelformation_fixTau.R . 03_modelformation_formModelMatrices.R . 03_modelformation_generateParameterTable.R . 03_modelformation_impliedcovstructures.R . 03_modelformation_labtoind.R . 03_modelformation_matrixSetup_Isingbeta.R . 03_modelformation_matrixSetup_Isingtau.R . 03_modelformation_matrixSetup_SD.R . 03_modelformation_matrixSetup_beta.R . 03_modelformation_matrixSetup_cholesky.R . 03_modelformation_matrixSetup_delta.R . 03_modelformation_matrixSetup_isingomega.R . 03_modelformation_matrixSetup_kappa.R . 03_modelformation_matrixSetup_lambda.R . 03_modelformation_matrixSetup_mu.R . 03_modelformation_matrixSetup_omega.R . 03_modelformation_matrixSetup_rho.R . 03_modelformation_matrixSetup_sigma.R . 03_modelformation_matrixSetup_tau.R . 03_modelformation_missingpatterns.R . 03_modelformation_missingpatterns_covs.R . 03_modelformation_samplestats.R . 03_modelformation_samplestats_norawts.R . 03_modelformation_samplestats_rawts.R . 03_modelformation_sparseordense.R . 03_modelformation_startvaluesandbounds.R . 03_modelformation_tsData.R . 04_generalFit_fitfunction.R . 04_generalFit_gradient.R . 04_generalFit_logLikelihood.R . 04_generalfit_FisherInformation.R . 04_generalfit_VCOV.R . 04_generalfit_impliedModel.R . 04_generalfit_loglikelihood_Ising.R . 04_generalfit_loglikelihood_gauss.R . 04_generalfit_prepareModel.R . 04_modelformation_matrixSetup_flexcov.R . 05_MLestimator_expected_hessian_Gauss.R . 05_MLestimator_expected_hessian_Ising.R . 05_MLestimator_fit_Gauss.R . 05_MLestimator_fit_Ising.R . 05_MLestimator_fitfunction.R . 05_MLestimator_gradient_Gauss.R . 05_MLestimator_gradient_Ising.R . 06_ULS_expectedHessian.R . 06_ULS_fitfunction.R . 06_ULS_gradient.R . 06_weightsMatrix.R . 07_FIMLestimator_expected_hessian_Gauss.R . 07_FIMLestimator_fit_Gauss.R . 07_FIMLestimator_fitfunction.R . 07_FIMLestimator_gradient_Gauss.R . 08_outputHelpers_NAtoFALSE.R . 08_outputHelpers_NAtoTRUE.R . 08_outputHelpers_goodNum.R . 08_outputHelpers_logo.R . 09_modelmodification_clearpars.R . 09_modelmodifivation_emergencystart.R . 14_varcov_derivatives.R . 14_varcov_implied.R . 14_varcov_prepare.R . 15_lvm_derivatives.R . 15_lvm_identify.R . 15_lvm_implied.R . 15_lvm_prepare.R . 16_var1_derivatives.R . 16_var1_implied.R . 16_var1_prepare.R . 18_dlvm1_derivatives.R . 18_dlvm1_identify.R . 18_dlvm1_implied.R . 18_dlvm1_prepare.R . 19_tsdlvm1_derivatives.R . 19_tsdlvm1_identify.R . 19_tsdlvm1_implied.R . 19_tsdlvm1_prepare.R . 20_meta_varcov_derivatives.R . 20_meta_varcov_implied.R . 20_meta_varcov_prepare.R . 21_Ising_derivatives.R . 21_Ising_helperfunctions.R . 21_Ising_identify.R . 21_Ising_implied.R . 21_Ising_prepare.R . 22_ml_lvm_derivatives.R . 22_ml_lvm_identify.R . 22_ml_lvm_implied.R . 22_ml_lvm_prepare.R . RcppExports.R . a_models_Ising.R . a_models_bifactor.R . a_models_cholesky.R . a_models_corr.R . a_models_dlvm1.R . a_models_frombootnet.R . a_models_ggm.R . a_models_gvar.R . a_models_joingroups.R . a_models_latentgrowth.R . a_models_lnm.R . a_models_lrnm.R . a_models_lvm.R . a_models_meta_ggm.R . a_models_meta_varcov.R . a_models_ml_lnm.R . a_models_ml_lrnm.R . a_models_ml_lvm.R . a_models_ml_rnm.R . a_models_ml_tsdlvm1.R . a_models_ml_tslvgvar.R . a_models_panelgvar.R . a_models_precision.R . a_models_rnm.R . a_models_sem.R . a_models_tsdlvm1.R . a_models_tslvgvar.R . a_models_var1.R . a_models_varcov.R . b_modelexpansions_addMIs.R . b_modelexpansions_addSEs.R . b_modelexpansions_addfit.R . b_modelexpansions_identify.R . b_modelexpansions_updateModel.R . c_runmodel.R . d_stepup.R . e_modelmodifications_fixpar.R . e_modelmodifications_freepar.R . e_modelmodifications_groupequal.R . e_modelmodifications_groupfree.R . e_modelmodifications_intersectionmodel.R . e_modelmodifications_partialprune.R . e_modelmodifications_prune.R . e_modelmodifications_setequal.R . e_modelmodifications_unionmodel.R . f_conveneince_changedata.R . f_conveneince_fake_optimr.R . f_conveneince_fakeoptimr.R . f_conveneince_generate.R . f_conveneince_setEstimator.R . f_conveneince_setoptimizer.R . f_conveneince_setverbose.R . f_conveneince_usecpp.R . f_convenience_CIplot.R . f_convenience_MIs.R . f_convenience_bootstrap.R . f_convenience_bootstrap_SEs.R . f_convenience_covML.R . f_convenience_ergodicity.R . f_convenience_factorscores.R . f_convenience_fit.R . f_convenience_getmatrix.R . f_convenience_modelCompare.R . f_convenience_parameters.R . f_convenience_printMethod.R . f_convenience_residuals.R . f_convenience_simplestructure.R . g_simulations_replicator.R . h_modelsearch.R .  Full psychonetrics package functions and examples
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