paths: paths data frame

In netSEM: Network Structural Equation Modeling

paths data frame

Description

The function finds the best paths through netSEM modeling.

Usage

paths(a, top_n = 3, p_val = 0.05)

Arguments

a	a netSEM object containing every variable
top_n	an integer. How many paths from each variable should the function look at. Default value is 3.
p_val	a numeric. The threshold below which a p-value is considered significant, and thus the path is considered valid. The default is 0.05, meaning that paths with p-values greater than 0.05 will not be considered significant. This parameter can be adjusted based on the specifics of your analysis.

Details

paths_analysis uses a recursive algorithm to rank all different paths through a netSEM model by the lowest R2adj in the pathway (the weakest link). Function returns the best paths in a data frame.

Value

a data frame with two columns: Paths, containing the best paths through the netSEM as a string and min_R2 containing the smallest R2adj value between two variables in the path.

Examples

## Not run: 
## Load the sample acrylic data set
data(acrylic)

## Run netSEM
ans <- netSEMp1(acrylic, "IrradTot", "YI")

path_data <- paths(ans, 3, 0.05)

## End(Not run)

netSEM documentation built on Feb. 25, 2026, 5:08 p.m.