Other packages > Find by keyword >

cSEM  

Composite-Based Structural Equation Modeling
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("cSEM", "0.5.0")



Attach the package and use:
library("cSEM")
Maintained by
Florian Schuberth
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-01-13
Latest Update: 2022-11-24
Description:
Estimate, assess, test, and study linear, nonlinear, hierarchical and multigroup structural equation models using composite-based approaches and procedures, including estimation techniques such as partial least squares path modeling (PLS-PM) and its derivatives (PLSc, ordPLSc, robustPLSc), generalized structured component analysis (GSCA), generalized structured component analysis with uniqueness terms (GSCAm), generalized canonical correlation analysis (GCCA), principal component analysis (PCA), factor score regression (FSR) using sum score, regression or bartlett scores (including bias correction using Croon
How to cite:
Florian Schuberth (2020). cSEM: Composite-Based Structural Equation Modeling. R package version 0.5.0, https://cran.r-project.org/web/packages/cSEM. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2020-01-13 18:20), 0.2.0 (2020-03-29 13:00), 0.3.0 (2020-10-12 18:40), 0.3.1 (2021-02-14 23:50), 0.4.0 (2021-04-20 00:00)
Other packages that cited cSEM R package
View cSEM citation profile
Other R packages that cSEM depends, imports, suggests or enhances
Complete documentation for cSEM
Functions, R codes and Examples using the cSEM R package
Some associated functions: Anime . Benitezetal2020 . BergamiBagozzi2000 . ITFlex . LancelotMiltgenetal2016 . PoliticalDemocracy . Russett . SQ . Sigma_Summers_composites . Switching . Yooetal2000 . adjustAlpha . args_assess_dotdotdot . args_default . assess . cSEM-package . calculate2ndStage . calculateAVE . calculateCompositeVCV . calculateConstructVCV . calculateCorrectionFactors . calculateDf . calculateDistance . calculateEffects . calculateFLCriterion . calculateFR . calculateGoF . calculateHTMT . calculateIndicatorCor . calculateInnerWeightsPLS . calculateMAE . calculateModelSelectionCriteria . calculateOuterWeightsPLS . calculateParameterDifference . calculatePr . calculateReliabilities . calculateVIFModeB . calculateWeightsGSCA . calculateWeightsGSCAm . calculateWeightsKettenring . calculateWeightsPCA . calculateWeightsPLS . calculateWeightsUnit . calculatef2 . checkConvergence . classifyConstructs . convertModel . csem . csem_arguments . csem_model . csem_results . csem_summary . csem_test . dgp_2ndorder_cf_of_c . distance_measures . doIPMA . doNonlinearEffectsAnalysis . doRedundancyAnalysis . estimatePath . exportToExcel . fit . fit_measures . foreman . getConstructScores . getParameterNames . getRelevantParameters . getValuesFloodlight . handleArgs . infer . inference_helper . moments . nonlinear_estimation_utilities . parseModel . plot.cSEMIPMA . plot.cSEMNonlinearEffects . plot.cSEMPredict . predict . print.cSEMAssess . print.cSEMNonlinearEffects . print.cSEMPlotPredict . print.cSEMPredict . print.cSEMResults . print.cSEMSummarize . print.cSEMTestCVPAT . print.cSEMTestHausman . print.cSEMTestMGD . print.cSEMTestMICOM . print.cSEMTestOMF . print.cSEMVerify . processData . reliability . resampleData . resamplecSEMResults . satisfaction . satisfaction_gender . scaleWeights . setDominantIndicator . setStartingValues . structureTestMGDDecisions . summarize . testCVPAT . testHausman . testMGD . testMICOM . testOMF . threecommonfactors . verify . 
Some associated R codes: 000_new.R . 00_csem.R . 00_foreman.R . csem_data.R . csem_fit.R . csem_model.R . csem_resample.R . estimators_paths.R . estimators_weights.R . exportToExcel.R . helper_assess.R . helper_csem.R . helper_doNonlinearEffectsAnalysis.R . helper_estimators_paths.R . helper_estimators_weights.R . helper_foreman.R . helper_infer.R . helper_predict.R . helper_resample.R . helper_summarize.R . helper_test_MGD.R . plot.cSEMIPMA.R . plot.cSEMNonlinearEffects.R . plot.cSEMPredict.R . postestimate_assess.R . postestimate_doIPMA.R . postestimate_doNonlinearEffectsAnalysis.R . postestimate_doRedundancyAnalysis.R . postestimate_getConstructScores.R . postestimate_infer.R . postestimate_predict.R . postestimate_summarize.R . postestimate_test_CVPAT.R . postestimate_test_MGD.R . postestimate_test_MICOM.R . postestimate_test_OMF.R . postestimate_test_hausman.R . postestimate_verify.R . print.cSEMAssess.R . print.cSEMNonlinearEffects.R . print.cSEMPredict.R . print.cSEMResults.R . print.cSEMSummarize.R . print.cSEMTestCVPAT.R . print.cSEMTestHausman.R . print.cSEMTestMGD.R . print.cSEMTestMICOM.R . print.cSEMTestOMF.R . print.cSEMVerify.R . zz_arguments.R . zz_datasets.R . zz_helper_print.R . zz_package.R . zz_templates.R . zz_utils.R .  Full cSEM package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
tropAlgebra  
Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency  
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA