person(given = "James",
family = "Lane",
role = c("aut", "cre"),
email = "lanejames35@gmail.com")
Provides a set of functions to perform queries against the 'CCM' API <https://mohcontacttracing.my.salesforce.com>.

Consensus Clustering for Different Sample Coverage Data
c(
person(given = "Chuanxing", family = "Li", email = "chuan-xing.li@ki.se", role = c("aut", "cre")),
person(given = "Meng", family = "Zhou", email="zhoumeng@wmu.edu.cn", role="aut"))
Consensus clustering, also called meta-clustering or cluster ensembles, has been increasingly
used in clinical data. Current consensus clustering methods tend to ensemble a number of different
clusters from mathematical replicates with similar sample coverage. As the fact of common variety
of sample coverage in the real-world data, a new consensus clustering strategy dealing with
such biological replicates is required. This is a two-step consensus clustering package, which
is used to input multiple predictive labels with different sample coverage (missing labels).
ggplot2, diceR, parallel, tidyr, SNFtool, plyr,
ConsensusClusterPlus (>= 1.56.0)
Chuanxing Li [aut, cre],
Meng Zhou [aut]

Estimate the direct and indirect (mediation) effects of treatment on the outcome when intermediate variables (mediators) are compositional and high-dimensional. Sohn, M.B. and Li, H. (2017). Compositional Mediation Analysis for Microbiome Studies. (AOAS: In revision).

Implementation of Case-Control Optimal Matching
c(
person("Pavlos", "Mamouris",role = c("aut", "cre"), email = "pavlos.mamouris@kuleuven.be"),
person("Vahid", "Nassiri",role = c("aut", "ctb"), email= "vahid.nassiri@openanalytics.eu"))
Cases are matched to controls in an efficient, optimal and computationally flexible way. It uses
the idea of sub-sampling in the level of the case, by creating pseudo-observations of controls. The
user can select between replacement and without replacement, the number of controls, and several covariates
to match upon. See Mamouris (2021) <doi:10.1186/s12874-021-01256-3> for an overview.
Pavlos Mamouris [aut, cre],
Vahid Nassiri [aut, ctb]