It ex-ploits quantile regression to investigate changes in the relationships among constructs and be-tween constructs and observed variables.

qcpm: Quantile Composite Path Modeling. Implements the Quantile Composite-based Path Modeling approach (Davino and Vinzi, 2016 <doi:10.1007/s11634-015-0231-9>; Dolce et al., 2021 <doi:10.1007/s11634-021-00469-0>). The method complements the traditional PLS Path Modeling approach, analyzing the entire distribution of outcome variables and ...

2023年11月15日 · The aim of the chapter is to provide step-by-step instructions to implement, estimate, and interpret a Quantile Composite-based Path Model, exploiting the qcpm package (https://rdrr.io/cran/qcpm/), freely available for the R software. The chapter encompasses both methodological aspects of this recent quantile approach to Partial Least Squares ...

2016年1月9日 · The proposed Quantile Composite-based Path Modeling (QCPM) can enhance PLSPM potentialities because it is able to distinguish specific effects of regressors on the different parts of the dependent variable distribution.

Mapper 从 json 文件表示的映射关系中构建映射模式，用于内部的映射处理。 Circuit 从 qasm 中读入数据并构建对象。 circuit.save(circuit_output_path): 将处理后的 Circuit 对象以 qasm 数据的格式输出至指定文件。 circuit. save (circuit_output) # ./.qasm. 其中 log= 参数给定日志文件的输出路径。

qcpm estimates path model parameters by quantile composite-based path modeling approach. Usage qcpm( model, data, scheme = "factorial", tau = NULL, fix.quantile = FALSE, qcorr = FALSE, tol = 1e-05, maxiter = 100 ) Arguments

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, …

Documentation for package ‘qcpm’ version 0.3. DESCRIPTION file. Help Pages. assessment: Assessment measures of quantile composite-based path modeling: boot: Inference on QC-PM model parameters (i.e., loadings and path coefficients) province: Province dataset …

2024年9月11日 · qcpm: QC-PM: Quantile Composite-based Path Modeling; reliability: Measurement model reliability and internal consistence; Browse all...

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.