Package: netmediate 1.0.1

netmediate: Micro-Macro Analysis for Social Networks

Estimates micro effects on macro structures (MEMS) and average micro mediated effects (AMME). URL: <https://github.com/sduxbury/netmediate>. BugReports: <https://github.com/sduxbury/netmediate/issues>. Robins, Garry, Phillipa Pattison, and Jodie Woolcock (2005) <doi:10.1086/427322>. Snijders, Tom A. B., and Christian E. G. Steglich (2015) <doi:10.1177/0049124113494573>. Imai, Kosuke, Luke Keele, and Dustin Tingley (2010) <doi:10.1037/a0020761>. Duxbury, Scott (2023) <doi:10.1177/00811750231209040>. Duxbury, Scott (2024) <doi:10.1177/00811750231220950>.

Authors:Scott Duxbury [aut, cre, cph]

# Install 'netmediate' in R:

install.packages('netmediate', repos = c('https://sduxbury.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.

Last updated 5 months agofrom:2d8abf88b9. Checks:OK: 3 NOTE: 4. Indexed: yes.

Help page	Topics
Function to estimate the average micro mediated effect (AMME).	AMME
Function to compare micro effect on macro structure (MEMS) estimates between models.	compare_MEMS
Function to map micro_process onto macro_model within calls to 'AMME'.	identity_function
Function to estimate the micro effect on macro structure (MEMS).	MEMS
Function to calculate Moran's first order network autocorrelation in co-evolution SAOM.	Moran_dv