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plspm (version 0.4.1)

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

Description

plspm contains a set of functions for performing Partial Least Squares Path Modeling (PLS-PM) analysis for both metric and non-metric data, as well as REBUS analysis.

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Version

Install

install.packages('plspm')

Monthly Downloads

3,046

Version

0.4.1

License

GPL-3

Maintainer

Gaston Sanchez

Last Published

December 8th, 2013

Functions in plspm (0.4.1)

it.reb

Iterative steps of Response-Based Unit Segmentation (REBUS)
check_scheme

Check scheme
check_args

Check arguments for plspm and plspm.fit
check_specs

Check specifications of PLS-PM algorithm
check_blocks

Check well defined blocks
check_model

Check congruence between inner and outer models
get_nom_scale

Non-Metric Nominal Scale
get_paths

Calculate path coefficients for plspm
get_gof

Goodness-of-fit for plspm
plspm

PLS-PM: Partial Least Squares Path Modeling
innerplot

Plot inner model
offense

Offense dataset
get_ord_scale

Non-Metric Ordinal Scale
rebus.pls

Response Based Unit Segmentation (REBUS)
spainfoot

Spanish football dataset
get_num_scale

Non-Metric Numerical Scale
get_plsr1

PLS regression for plspm
get_rank

Rank of a non-metric variable
check_scaling

Check types of measurement scales and metric
cereals

Cereals datset
get_PLSRdoubleQ

get_PLSRdoubleQ
get_weights

Outer Weights
get_boots

Performs bootstrap validation in plspm
get_unidim

Unidimensionality of reflective blocks
outerplot

Plot outer model
check_maxiter

Check maximum number of iterations
get_alpha

Calculate Cronbach's alpha
get_generals

Get general parameters
check_modes

Check modes
check_tol

Check tolerance threshold
get_data_scaled

Scaling data outside plspm
college

College datasets
check_boot

Check bootstrap options
get_PLSR_NA

Internal PLS regression with missing values
is_missing

Presence of missing values
get_PLSR

Internal PLS regression (full data)
get_treated_data

Apply corresponding treatment to MV
get_GQI

Group Quality Index
check_data

Check Data
get_path_scheme

Calculate inner weighting path scheme
alpha

Cronbach's alpha
futbol

Futbol dataset from Spain-England-Italy
get_ave

Calculate AVE (Average Variance Extracted)
russa

Russett A
get_manifests

Building data matrix with manifest variables
get_inner_summary

Inner summary assessment
test_dataset

Test Data Set Availibility
get_boot_stats

Get data frame with bootstrap statistics
mobile

ECSI Mobile Phone Provider dataset
quantiplot

Quantification Plot
get_rho

Calculate Dillon-Goldstein's rho
get_effects

Path coefficient effects for plspm
orange

Orange Juice dataset
technology

Technology data set
get_scores

Calculate Latent Variable Scores
rho

Dillon-Goldstein's rho
normalize

Normalize a vector
local.models

PLS-PM for global and local models
satisfaction

Satisfaction dataset
get_weights_nonmetric

Outer Weights Non-Metric Data
rescale

Rescale Latent Variable Scores
get_locals_test

Local groups comparison test
simdata

Simulated data for REBUS with two groups
russb

Russett B
test_null_weights

Test outer weights convergence within specified maxiter
get_numerics

Transform factors in MV into numeric
check_plscomp

Check vector of PLS components (for non-metric plspm)
arizona

Arizona vegetation dataset
test_manifest_scaling

Test scaling of selected manifest variables
dummy.G

Dummy by Giorgio
russett

Russett dataset
res.clus

Clustering on communality and structural residuals
test_factors

Test presence of factors
get_dummy

Non-Metric Dummy
get_dummies

Dummy matrices for categorical manifest variables
get_metric

Type of metric based on scaling measurement
plspm.fit

Basic results for Partial Least Squares Path Modeling
plspm.groups

Two Groups Comparison in PLS-PM
plot.plspm

Plots for PLS Path Models
wines

Wines dataset
unidim

Unidimensionality of blocks
rebus.test

Permutation Test for REBUS Multi-Group Comparison
check_path

Check path matrix