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qcpm (version 0.4)

Quantile Composite Path Modeling

Description

Implements the Quantile Composite-based Path Modeling approach (Davino and Vinzi, 2016 ; Dolce et al., 2021 ). The method complements the traditional PLS Path Modeling approach, analyzing the entire distribution of outcome variables and, therefore, overcoming the classical exploration of only average effects. It exploits quantile regression to investigate changes in the relationships among constructs and between constructs and observed variables.

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Version

Install

install.packages('qcpm')

Monthly Downloads

170

Version

0.4

License

GPL-3

Maintainer

Giuseppe Lamberti

Last Published

August 22nd, 2024

Functions in qcpm (0.4)

reliability

Measurement model reliability and internal consistence
qc

qc
get_communality

get_communality
assessment

Assessment measures of quantile composite-based path modeling
boot

Inference on QC-PM model parameters (i.e., loadings and path coefficients)
qcpm

QC-PM: Quantile Composite-based Path Modeling
province

Province dataset example
get_checks

intternal checks
get_element

get_element
get_info

get_info
get_loadings

get_loadings
get_internal_parameter_estimation

get_internal_parameter_estimation
get_paths

get_paths
get_names_MV

get_element