foreach, iterators, methods, Matrix, haven, Rcpp (>= 1.0.8.3),
MASS

Estimating Controlled Direct Effects for Explaining Causal
Findings
Avidit Acharya [aut], Matthew Blackwell [aut, cre], Maya Sen [aut], Shiro Kuriwaki [ctb]
A set of functions to estimate the controlled direct effect of treatment fixing a potential mediator to a specific value. Implements the sequential g-estimation estimator described in Vansteelandt (2009) <doi:10.1097/EDE.0b013e3181b6f4c9> and Acharya, Blackwell, and Sen (2016) <doi:10.1017/S0003055416000216>.

c(
person("Matthew", "Blackwell", email = "mblackwell@gov.harvard.edu", role = c("aut", "cre")),
person("Avidit", "Acharya", email = "avidit@stanford.edu", role = c("aut")),
person("Maya", "Sen", email = "maya_sen@hks.harvard.edu", role = c("aut")),
person("Shiro", "Kuriwaki", email = "kuriwaki@g.harvard.edu", role = c("aut")),
person("Jacob", "Brown", email = "jrbrown@g.harvard.edu", role = c("aut")))
knitr, dplyr, ggplot2, reshape2, scales, testthat, rmarkdown
Matthew Blackwell [aut, cre],
Avidit Acharya [aut],
Maya Sen [aut],
Shiro Kuriwaki [aut],
Jacob Brown [aut]

knitr, dplyr, ggplot2, reshape2, scales, testthat

Adjusted Means and Proportions by Direct Standardisation
Calculate adjusted means and proportions of a variable by groups defined by another variable by direct standardisation, standardised to the structure of the dataset.

Gian Paolo Clemente[cre,aut], Rosanna Grassi [ctb]
Allows the computation of clustering coefficients for directed and weighted networks by using different approaches.
It allows to compute clustering coefficients that are not present in 'igraph' package.
A description of clustering coefficients can be found in "Directed clustering in weighted networks: a new perspective", Clemente, G.P., Grassi, R. (2017),
<doi:10.1016/j.chaos.2017.12.007>.

A collection of R functions for directional data analysis.
MASS, abind, doParallel, parallel, foreach

MASS, abind, doParallel, parallel, foreach, fields

Michail Tsagris, Giorgos Athineou, Anamul Sajib