Estimator of the Adherer Average Causal Effect
c(
person(
given = "Jiaxun",
family = "Chen",
role = "aut"
),
person(
given = "Rui",
family = "Jin",
role = "aut"
),
person(
given = "Yongming",
family = "Qu",
role = "aut"
),
person(
given = "Run",
family = "Zhuang",
role = c("aut", "cre"),
email = "capecod0321@gmail.com"
),
person(
given = "Ying",
family = "Zhang",
role = "aut"
),
person(
family = "Eli Lilly and Company",
role = "cph"
))
Estimate the causal treatment effect for subjects that can adhere
to one or both of the treatments. Given longitudinal data with missing
observations, consistent causal effects are calculated. Unobserved potential
outcomes are estimated through direct integration as described in:
Qu et al., (2019) <doi:10.1080/19466315.2019.1700157> and
Zhang et. al., (2021) <doi:10.1080/19466315.2021.1891965>.
Jiaxun Chen [aut],
Rui Jin [aut],
Yongming Qu [aut],
Run Zhuang [aut, cre],
Ying Zhang [aut],
Eli Lilly and Company [cph]

Discrete and Global Optimization Routines
The R package 'adagio' will provide methods and algorithms
for discrete optimization and (evolutionary) global
optimization.

The R package 'adagio' will provide methods and algorithms for
discrete optimization and (evolutionary) global optimization.

The R package 'adagio' will provide methods and algorithms for
discrete optimization, e.g. knapsack and subset sum procedures,
derivative-free Nelder-Mead and Hooke-Jeeves minimization, and
some (evolutionary) global optimization functions.

person("Hans W.", "Borchers", email = "hwborchers@googlemail.com",
role = c("aut", "cre"))

Archetypoid Algorithms and Anomaly Detection
Collection of several algorithms to obtain archetypoids with small and large databases and with both classical
multivariate data and functional data (univariate and multivariate). Some of these algorithms also allow to detect
anomalies (outliers).
Anthropometry, archetypes, FNN, foreach, nnls, parallel,
reticulate, stats, tolerance, univOutl

Anthropometry, archetypes, FNN, foreach, nnls, parallel,
stats, tolerance, univOutl