Path.Analysis - Path Coefficient Analysis
Facilitates the performance of several analyses, including
simple and sequential path coefficient analysis, correlation
estimate, drawing correlogram, Heatmap, and path diagram. When
working with raw data, that includes one or more dependent
variables along with one or more independent variables are
available, the path coefficient analysis can be conducted. It
allows for testing direct effects, which can be a vital
indicator in path coefficient analysis. The process of
preparing the dataset rule is explained in detail in the
vignette file "Path.Analysis_manual.Rmd". You can find this in
the folders labelled "data" and "~/inst/extdata". Also see:
1)the 'lavaan', 2)a sample of sequential path analysis in
'metan' suggested by Olivoto and Lúcio (2020)
<doi:10.1111/2041-210X.13384>, 3)the simple 'PATHSAS' macro
written in 'SAS' by Cramer et al. (1999)
<doi:10.1093/jhered/90.1.260>, and 4)the semPlot() function of
'OpenMx' as initial tools for conducting path coefficient
analyses and SEM (Structural Equation Modeling). To gain a
comprehensive understanding of path coefficient analysis, both
in theory and practice, see a 'Minitab' macro developed by
Arminian, A. in the paper by Arminian et al. (2008)
<doi:10.1080/15427520802043182>.
