Package: networksem 0.2

networksem: Network Structural Equation Modeling

Several methods have been developed to integrate structural equation modeling techniques with network data analysis to examine the relationship between network and non-network data. Both node-based and edge-based information can be extracted from the network data to be used as observed variables in structural equation modeling. To facilitate the application of these methods, model specification can be performed in the familiar syntax of the 'lavaan' package, ensuring ease of use for researchers. Technical details and examples can be found at <https://bigsem.psychstat.org>.

Authors:Zhiyong Zhang [aut, cre], Ziqian Xu [aut]

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networksem.pdf |networksem.html✨
networksem/json (API)

# Install 'networksem' in R:

install.packages('networksem', repos = c('https://johnnyzhz.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 234 downloads 5 exports 81 dependencies

Last updated 1 months agofrom:99e5be55cf. Checks:8 OK. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Mar 03 2025
R-4.5-win	OK	Mar 03 2025
R-4.5-mac	OK	Mar 03 2025
R-4.5-linux	OK	Mar 03 2025
R-4.4-win	OK	Mar 03 2025
R-4.4-mac	OK	Mar 03 2025
R-4.3-win	OK	Mar 03 2025
R-4.3-mac	OK	Mar 03 2025

Exports:path.networksem sem.net sem.net.edge sem.net.edge.lsm sem.net.lsm

Dependencies:abind BiocManager cachem cli coda codetools colorspace coop cpp11 data.table DEoptimR doParallel dplyr ergm evaluate fansi farver fastmap foreach generics ggplot2 glue gtable highr hms igraph influential isoband iterators janitor knitr labeling latentnet lattice lavaan lifecycle lpSolveAPI lubridate magrittr MASS Matrix memoise mgcv mnormt munsell mvtnorm network nlme numDeriv pbivnorm pillar pkgconfig purrr quadprog R6 ranger rbibutils RColorBrewer Rcpp RcppEigen Rdpack rlang rle robustbase scales sna snakecase statnet.common stringi stringr tibble tidyr tidyselect timechange trust utf8 vctrs viridisLite withr xfun yaml

Help page	Topics
Calculate a mediation effect from a networksem model	path.networksem
Fit a Structural Equation Model (SEM) with both network and non-network data by incorporating node-level network statistics as variables.	sem.net
Compute user-specified network statistics for a specific network.	sem.net.addvar
Compute a list of user-specified network statistics using the "influential" package and add it to the existing data.	sem.net.addvar.influential
Compute a list of user-specified network statistics values using the "sna" package and add them to the non-network data.	sem.net.addvar.stat
Fit a Structural Equation Model (SEM) with both network and non-network data by transforming nonnetwork data into paired values corresponding to network edge values.	sem.net.edge
Fit a Structural Equation Model (SEM) with both network and non-network data by transforming nonnetwork data into paired values corresponding to network latent distance pairs.	sem.net.edge.lsm
Fit a Structural Equation Model (SEM) with both network and non-network data by incorporating network latent positions as variables.	sem.net.lsm
Summarize output from networksem functions includeing sem.net, sem.net.lsm, sem.net.edge, sem.net.edge.lsm.	summary.networksem

Package: networksem 0.2

networksem: Network Structural Equation Modeling

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Usage by other packages (reverse dependencies)