Other packages > Find by keyword >

amen  

Additive and Multiplicative Effects Models for Networks and Relational Data
View on CRAN: Click here


Download and install amen package within the R console
Install from CRAN:
install.packages("amen")

Install from Github:
library("remotes")
install_github("cran/amen")

Install by package version:
library("remotes")
install_version("amen", "1.4.5")



Attach the package and use:
library("amen")
Maintained by
Peter Hoff
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-06-17
Latest Update: 2020-12-16
Description:
Analysis of dyadic network and relational data using additive and multiplicative effects (AME) models. The basic model includes regression terms, the covariance structure of the social relations model (Warner, Kenny and Stoto (1979) , Wong (1982) ), and multiplicative factor models (Hoff(2009) ). Several different link functions accommodate different relational data structures, including binary/network data, normal relational data, zero-inflated positive outcomes using a tobit model, ordinal relational data and data from fixed-rank nomination schemes. Several of these link functions are discussed in Hoff, Fosdick, Volfovsky and Stovel (2013) . Development of this software was supported in part by NIH grant R01HD067509.
How to cite:
Peter Hoff (2012). amen: Additive and Multiplicative Effects Models for Networks and Relational Data. R package version 1.4.5, https://cran.r-project.org/web/packages/amen. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.75 (2012-06-17 02:06), 0.90 (2012-12-19 07:52), 0.91 (2013-02-13 06:14), 0.92 (2013-02-22 19:20), 0.95 (2013-03-22 08:42), 0.975 (2013-04-11 07:01), 0.999 (2014-03-01 20:35), 1.0 (2015-02-26 19:05), 1.1 (2015-06-26 20:09), 1.3 (2017-05-25 02:31), 1.4.4 (2020-12-16 15:00)
Other packages that cited amen R package
View amen citation profile
Other R packages that amen depends, imports, suggests or enhances
Complete documentation for amen
Functions, R codes and Examples using the amen R package
Some associated functions: IR90s . Xbeta . YX_bin . YX_bin_long . YX_cbin . YX_frn . YX_nrm . YX_ord . YX_rrl . addhealthc3 . addhealthc9 . addlines . ame . ame_rep . amen-package . circplot . coldwar . comtrade . design_array . dutchcollege . el2sm . gofstats . lazegalaw . ldZgbme . llsrmRho . mhalf . netplot . plot.ame . precomputeX . rSab_fc . rSuv_fc . rUV_fc . rUV_rep_fc . rUV_sym_fc . rZ_bin_fc . rZ_cbin_fc . rZ_frn_fc . rZ_nrm_fc . rZ_ord_fc . rZ_rrl_fc . rZ_tob_fc . raSab_bin_fc . raSab_cbin_fc . raSab_frn_fc . rbeta_ab_fc . rbeta_ab_rep_fc . rmvnorm . rrho_fc . rrho_mh . rrho_mh_rep . rs2_fc . rs2_rep_fc . rwish . sampsonmonks . sheep . simY_bin . simY_frn . simY_nrm . simY_ord . simY_rrl . simY_tob . simZ . sm2el . summary.ame . xnet . zscores . 
Some associated R codes: Xbeta.R . addlines.R . ame.R . ame_rep.R . amen-package.R . circplot.R . design_array.R . el2sm.R . gofstats.R . ldZgbme.R . mhalf.R . netplot.R . plot.ame.R . precomputeX.R . rSab_fc.R . rSuv_fc.R . rUV_fc.R . rUV_rep_fc.R . rUV_sym_fc.R . rZ_bin_fc.R . rZ_cbin_fc.R . rZ_frn_fc.R . rZ_nrm_fc.R . rZ_ord_fc.R . rZ_rrl_fc.R . rZ_tob_fc.R . raSab_bin_fc.R . raSab_cbin_fc.R . raSab_frn_fc.R . rbeta_ab_fc.R . rbeta_ab_rep_fc.R . rmvnorm.R . rrho_fc.R . rrho_mh.R . rrho_mh_rep.R . rs2_fc.R . rs2_rep_fc.R . rwish.R . simY_bin.R . simY_frn.R . simY_nrm.R . simY_ord.R . simY_rrl.R . simY_tob.R . simZ.R . sm2el.R . summary.ame.R . xnet.R . zscores.R .  Full amen package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA