This package is considered a duplicate. The official version of this package is found at:https://lzy318.r-universe.dev/interflex

Package: interflex 1.2.6

Ziyi Liu

interflex: Multiplicative Interaction Models Diagnostics and Visualization

Performs diagnostic tests of multiplicative interaction models and plots non-linear marginal effects of a treatment on an outcome across different values of a moderator.

Authors:Jens Hainmueller [aut, ctb], Jonathan Mummolo [aut, ctb], Yiqing Xu [aut, ctb], Ziyi Liu [aut, cre]

interflex_1.2.6.tar.gz
interflex_1.2.6.tar.gz(r-4.5-noble)interflex_1.2.6.tar.gz(r-4.4-noble)
interflex_1.2.6.tgz(r-4.4-emscripten)interflex_1.2.6.tgz(r-4.3-emscripten)
interflex.pdf |interflex.html✨
interflex/json (API)

# Install 'interflex' in R:

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

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

Datasets:

s1 - S1
s2 - S2
s3 - S3
s4 - S4
s5 - S5
s6 - S6
s7 - S7
s8 - S8
s9 - S9

On CRAN:

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

openblas cpp openmp

1.70 score 470 downloads 18 exports 91 dependencies

Last updated 4 years agofrom:293d88d530. Checks:1 OK, 2 NOTE. Indexed: no.

Target	Result	Latest binary
Doc / Vignettes	OK	Mar 27 2025
R-4.5-linux-x86_64	NOTE	Mar 27 2025
R-4.4-linux-x86_64	NOTE	Mar 27 2025

Exports:createFolds fastplm inter.test interflex interflex.binning interflex.gam interflex.kernel interflex.linear interflex.plot.pool interflex.raw iv_fastplm plot.interflex predict.interflex rcpparma_bothproducts rcpparma_hello_world rcpparma_innerproduct rcpparma_outerproduct vcovCluster

Dependencies:abind AER backports boot broom car carData cli codetools colorspace cowplot cpp11 data.table Deriv digest doBy doParallel dplyr fansi farver foreach Formula fs future generics ggplot2 ggplotify globals glue gridExtra gridGraphics gtable isoband iterators labeling lattice lfe lifecycle listenv lme4 Lmoments lmtest magrittr MASS Matrix MatrixModels mgcv microbenchmark minqa ModelMetrics modelr munsell mvtnorm nlme nloptr nnet numDeriv parallelly pbkrtest pcse pillar pkgconfig plyr pROC purrr quantreg R6 rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reformulas rlang sandwich scales SparseM stringi stringr survival tibble tidyr tidyselect utf8 vctrs viridisLite withr xtable yulab.utils zoo

Citation

To cite package ‘interflex’ in publications use:

Jens Hainmueller, Jonathan Mummolo, Yiqing Xu, Ziyi Liu (2021). interflex: Multiplicative Interaction Models Diagnostics and Visualization. R package version 1.2.6, https://CRAN.R-project.org/package=interflex.

Corresponding BibTeX entry:

  @Manual{,
    title = {interflex: Multiplicative Interaction Models Diagnostics
      and Visualization},
    author = {{Jens Hainmueller} and {Jonathan Mummolo} and {Yiqing Xu}
      and {Ziyi Liu}},
    year = {2021},
    note = {R package version 1.2.6},
    url = {https://CRAN.R-project.org/package=interflex},
  }

Readme and manuals

interflex

Multiplicative Interaction Models Diagnostics and Visualization

Authors: Jens Hainmueller, Jonathan Mummolo, and Yiqing Xu

Maintainer: Yiqing Xu [yiqingxu@stanford.edu]

How to Uses: Examples

Reference: "How Much Should We Trust Estimates from Multiplicative Interaction Models? Simple Tools to Improve Empirical Practice." Political Analysis, Vol. 27, Iss. 2, April 2019, pp. 163--192. Available at: http://bit.ly/HMX2019.

Citation: @article{HMX2018, author = {Hainmueller, Jens and Mummolo, Jonathan and Xu, Yiqing}, title = {{How Much Should We Trust Estimates from Multiplicative Interaction Models? Simple Tools to Improve Empirical Practice}}, journal = {Political Analysis}, volume = {27}, number = {2}, page = {163--192}, year = {2019}}

Help Manual

Help page	Topics
Multiplicative Interaction Models Diagnostics and Visualization	interflex-package
Conduct t-Test after Estimation	inter.test
Flexible Interactive Models	interflex
Internal Interflex Functions	createFolds fastplm interflex.binning interflex.gam interflex.kernel interflex.linear interflex.plot.pool interflex.raw iv_fastplm vcovCluster
Plotting Marginal Effect Estimates	plot.interflex
Plotting Marginal Effect Estimates	predict.interflex
Set of functions in example RcppArmadillo package	rcpparma_bothproducts rcpparma_hello_world rcpparma_innerproduct rcpparma_outerproduct
s1	s1
s2	s2
s3	s3
s4	s4
s5	s5
s6	s6
s7	s7
s8	s8
s9	s9