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plspm (version 0.4.9)
Tools for Partial Least Squares Path Modeling (PLS-PM)
Description
Partial Least Squares Path Modeling (PLS-PM) analysis for both metric and non-metric data, as well as REBUS analysis.
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Install
install.packages('plspm')
Monthly Downloads
1,687
Version
0.4.9
License
GPL-3
Issues
16
Pull Requests
3
Stars
57
Forks
28
Repository
https://github.com/gastonstat/plspm
Maintainer
Gaston Sanchez
Last Published
April 23rd, 2017
Functions in plspm (0.4.9)
Search functions
cereals
Cereals datset
check_args
Check arguments for
check_data
Check Data
check_maxiter
Check maximum number of iterations
college
College datasets
dummy.G
Dummy by Giorgio
alpha
Cronbach's alpha
arizona
Arizona vegetation dataset
check_specs
Check specifications of PLS-PM algorithm
check_tol
Check tolerance threshold
get_boots
Performs bootstrap validation in
get_data_scaled
Scaling data outside
get_PLSR
Internal PLS regression (full data)
get_PLSR_NA
Internal PLS regression with missing values
get_locals_test
Local groups comparison test
get_ord_scale
Non-Metric Ordinal Scale
get_path_scheme
Calculate inner weighting path scheme
get_weights_nonmetric
Outer Weights Non-Metric Data
innerplot
Plot inner model
check_blocks
Check well defined blocks
check_boot
Check bootstrap options
futbol
Futbol dataset from Spain-England-Italy
check_model
Check congruence between inner and outer models
check_modes
Check modes
check_scaling
Check types of measurement scales and metric
check_scheme
Check scheme
get_ave
Calculate AVE (Average Variance Extracted)
get_GQI
Group Quality Index
get_effects
Path coefficient effects for
get_generals
Get general parameters
get_rank
Rank of a non-metric variable
plspm.fit
Basic results for Partial Least Squares Path Modeling
plspm.groups
Two Groups Comparison in PLS-PM
russa
Russett A
russb
Russett B
get_PLSRdoubleQ
get_PLSRdoubleQ
get_alpha
Calculate Cronbach's alpha
get_gof
Goodness-of-fit for
get_inner_summary
Inner summary assessment
is_missing
Presence of missing values
it.reb
Iterative steps of Response-Based Unit Segmentation (REBUS)
quantiplot
Quantification Plot
rebus.pls
Response Based Unit Segmentation (REBUS)
get_rho
Calculate Dillon-Goldstein's rho
local.models
PLS-PM for global and local models
mobile
ECSI Mobile Phone Provider dataset
get_boot_stats
Get data frame with bootstrap statistics
get_num_scale
Non-Metric Numerical Scale
get_numerics
Transform factors in MV into numeric
get_paths
Calculate path coefficients for
get_plsr1
PLS regression for
normalize
Normalize a vector
offense
Offense dataset
russett
Russett dataset
check_path
Check path matrix
check_plscomp
Check vector of PLS components (for non-metric plspm)
get_dummies
Dummy matrices for categorical manifest variables
get_dummy
Non-Metric Dummy
satisfaction
Satisfaction dataset
wines
Wines dataset
rescale
Rescale Latent Variable Scores
rho
Dillon-Goldstein's rho
technology
Technology data set
test_dataset
Test Data Set Availibility
test_null_weights
Test outer weights convergence within specified maxiter
unidim
Unidimensionality of blocks
get_metric
Type of metric based on scaling measurement
get_nom_scale
Non-Metric Nominal Scale
get_scores
Calculate Latent Variable Scores
get_treated_data
Apply corresponding treatment to MV
plot.plspm
Plots for PLS Path Models
plspm
PLS-PM: Partial Least Squares Path Modeling
get_manifests
Building data matrix with manifest variables
get_unidim
Unidimensionality of reflective blocks
get_weights
Outer Weights
orange
Orange Juice dataset
outerplot
Plot outer model
rebus.test
Permutation Test for REBUS Multi-Group Comparison
res.clus
Clustering on communality and structural residuals
test_factors
Test presence of factors
test_manifest_scaling
Test scaling of selected manifest variables
simdata
Simulated data for REBUS with two groups
spainfoot
Spanish football dataset