Package: plspm 0.4.9

plspm: Tools for Partial Least Squares Path Modeling (PLS-PM)

Partial Least Squares Path Modeling (PLS-PM) analysis for both metric and non-metric data, as well as REBUS analysis for latent class detection.

Authors:Gaston Sanchez [aut, cre], Laura Trinchera [aut], Giorgio Russolillo [aut]

plspm_0.4.9.tar.gz
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plspm_0.4.9.tgz(r-4.4-any)plspm_0.4.9.tgz(r-4.3-any)
plspm_0.4.9.tar.gz(r-4.5-noble)plspm_0.4.9.tar.gz(r-4.4-noble)
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plspm.pdf |plspm.html✨
plspm/json (API)
NEWS

# Install 'plspm' in R:

install.packages('plspm', repos = c('https://gastonstat.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/gastonstat/plspm/issues

Datasets:

arizona - Arizona vegetation dataset
cereals - Cereals datset
college - College datasets
futbol - Futbol dataset from Spain-England-Italy
mobile - ECSI Mobile Phone Provider dataset
offense - Offense dataset
orange - Orange Juice dataset
russa - Russett A
russb - Russett B
russett - Russett dataset
satisfaction - Satisfaction dataset
simdata - Simulated data for REBUS with two groups
spainfoot - Spanish football dataset
technology - Technology data set
wines - Wines dataset

On CRAN:

path-modeling pls-sem plspm

6.78 score 62 stars 100 scripts 1.9k downloads 67 exports 5 dependencies

Last updated 3 years agofrom:bd21cb1530. Checks:OK: 1 NOTE: 6. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 03 2024
R-4.5-win	NOTE	Nov 03 2024
R-4.5-linux	NOTE	Nov 03 2024
R-4.4-win	NOTE	Nov 03 2024
R-4.4-mac	NOTE	Nov 03 2024
R-4.3-win	NOTE	Nov 03 2024
R-4.3-mac	NOTE	Nov 03 2024

Exports:alpha check_args check_blocks check_boot check_data check_maxiter check_model check_modes check_path check_plscomp check_scaling check_scheme check_specs check_tol dummy.G get_alpha get_ave get_boot_stats get_boots get_data_scaled get_dummies get_dummy get_effects get_generals get_gof get_GQI get_inner_summary get_locals_test get_manifests get_metric get_nom_scale get_num_scale get_numerics get_ord_scale get_path_scheme get_paths get_PLSR get_PLSR_NA get_plsr1 get_PLSRdoubleQ get_rank get_rho get_scores get_treated_data get_unidim get_weights get_weights_nonmetric innerplot is_missing it.reb local.models normalize outerplot plspm plspm.fit plspm.groups quantiplot rebus.pls rebus.test res.clus rescale rho test_dataset test_factors test_manifest_scaling test_null_weights unidim

Dependencies:amap diagram shape tester turner

Introduction to plspm

Rendered fromplspm_introduction.Rnwusingknitron Nov 03 2024.

Last update: 2015-08-28
Started: 2013-11-15

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Cronbach's alpha	alpha
Arizona vegetation dataset	arizona
Cereals datset	cereals
College datasets	college
Futbol dataset from Spain-England-Italy	futbol
Plot inner model	innerplot
Iterative steps of Response-Based Unit Segmentation (REBUS)	it.reb
PLS-PM for global and local models	local.models
ECSI Mobile Phone Provider dataset	mobile
Offense dataset	offense
Orange Juice dataset	orange
Plot outer model	outerplot
Plots for PLS Path Models	plot.plspm
PLS-PM: Partial Least Squares Path Modeling	plspm-package plspm
Basic results for Partial Least Squares Path Modeling	plspm.fit
Two Groups Comparison in PLS-PM	plspm.groups
Quantification Plot	quantiplot
Response Based Unit Segmentation (REBUS)	rebus.pls
Permutation Test for REBUS Multi-Group Comparison	rebus.test
Clustering on communality and structural residuals	res.clus
Rescale Latent Variable Scores	rescale
Dillon-Goldstein's rho	rho
Russett A	russa
Russett B	russb
Russett dataset	russett
Satisfaction dataset	satisfaction
Simulated data for REBUS with two groups	simdata
Spanish football dataset	spainfoot
Technology data set	technology
Unidimensionality of blocks	unidim
Wines dataset	wines

Usage by other packages (reverse dependencies)