Provides the ability to perform "Marginal Mediation"--mediation
wherein the indirect and direct effects are in terms of the average marginal effects
(Bartus, 2005, <https://EconPapers.repec.org/RePEc:tsj:stataj:v:5:y:2005:i:3:p:309-329>).
The style of the average marginal effects stems from Thomas Leeper's work on the "margins" package.
This framework allows the use of categorical mediators and outcomes with little change in interpretation
from the continuous mediators/outcomes. See <doi:10.13140/RG.2.2.18465.92001> for more details
on the method.
stats, magrittr, boot, cli, crayon, rstudioapi, purrr, tibble,
furniture, betareg, stringr

c(person(c("Tyson", "S"), "Barrett", email = "t.barrett88@gmail.com", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-2137-1391")),
person("Angelo", "Canty", role = c("ctb"),
comment = "S original bootstrap method, http://statwww.epfl.ch/davison/BMA/library.html"),
person(c("Brian", "D."), "Ripley", role = c("ctb"),
comment = "R port, bootstrap method", email = "ripley@stats.ox.ac.uk"),
person("Thomas", "Leeper", role = c("ctb"),
comment = "Vectorized marginal effects, https://thomasleeper.com/software.html"))
stats, magrittr, boot, cli, crayon, rstudioapi, purrr, tibble,
furniture, stringr
testthat, knitr, rmarkdown, margins, betareg

Analysis of Marks of Marked Point Processes (for Linux systems only)
Non-parametric Analysis of the Marks of Marked Point Processes

Analysis of Marks of Marked Point Processes

Non-parametric Analysis of the Marks of Marked Point
Processes

Market Matching and Causal Impact Inference
For a given test market find the best control markets using time series matching and analyze the impact of an intervention. The intervention could be be a marketing event or some other local business tactic that is being tested. The workflow implemented in MarketMatching utilizes dynamic time warping (the dtw package) to do the matching and the CausalImpact package to analyze the causal impact. In fact, this package can be considered a "workflow wrapper" for those two packages.
data.table, ggplot2, dplyr, utils, iterators, doParallel,
parallel, foreach, reshape2, CausalImpact, zoo, bsts, scales,
dtw