c(
person("Peng","Liao", email = "pengliao@umich.edu", role =c("aut","cre")),
person("Liying","Huang", email = "lxh37@psu.edu", role = "aut"),
person("Nicholas J.","Seewald", email = "nseewald@umich.edu", role = "aut"),
person("Ji","Sun", email = "sunji@umich.edu", role ="aut"))
The Pennsylvania State University (07.25.2020 - 09.01.2020),
Harvard University (09.01.2020 - present)
Provide a sample size calculator for micro-randomized trials (MRTs) based on methodology developed in Sample Size Calculations for Micro-randomized Trials in mHealth by Liao et al. (2016) <DOI:10.1002/sim.6847>.
Peng Liao [aut, cre],
Liying Huang [aut],
Nicholas J. Seewald [aut],
Ji Sun [aut]

Sample Size Calculator for MRT with Binary Outcomes
Eliot Wong-Toi, Thabat Dahdoul, Tianchen Qian
Provides a sample size calculator for micro-randomized trials (MRTs) with binary outcomes based on methodology developed in Qian et al. (2020) <doi:10.1093/biomet/asaa070>. Also provides a power calculator when the sample size is input by the user.

A Causal Mediation Method with Methylated Region (MR) as the
Mediator
A causal mediation approach under the counterfactual framework
to test the significance of total, direct and indirect effects. In this approach,
a group of methylated sites from a predefined region are utilized as the mediator,
and the functional transformation is used to reduce the possible high dimension
in the region-based methylated sites and account for their location information.

A multiplicative-regression model for relative survival.
Y. Foucher <Yohann.Foucher@univ-nantes.fr>, K. Trebern-Launay <katygre@yahoo.fr>
This package contains functions, data and examples to compute a multiplicative-regression model for relative survival.

Multiresolution time warping for functional data.
The Bayesian procedure starts with one warplet in the model and uses the posterior distributions as priors for a more extended model with one more warplet. The model is built with adding one warplet at a time and allows for amplitude variations.