c(person(given = c("B.", "C."),
family = "Ajay",
role = c("aut", "cre"),
email = "ajaygpb@yahoo.co.in",
comment = c(ORCID = "0000-0001-7222-8483")),
person(given = "J.",
family = "Aravind",
role = "aut",
email = "j.aravind@icar.gov.in",
comment = c(ORCID = "0000-0002-4791-442X")),
person(given = "R.",
family = "Abdul Fiyaz",
role = "aut",
email = "fiyaz.ra@icar.gov.in",
comment = c(ORCID = "0000-0001-6261-7071")),
person(given = "ICAR",
role = "cph",
comment = c(url = "https://www.icar.org.in")))
agricolae, ggcorrplot, ggplot2, methods, reshape2, stats,
Rdpack, mathjaxr
knitr, rmarkdown, pander, XML, httr, RCurl

Statistical Test for the Multivariate Point Null Hypotheses
c(person(given = "Adam",
family = "Elder",
role = c("aut", "cre"),
email = "shmelder@gmail.com",
comment = c(ORCID = "0000-0003-1665-2639")),
person(given = "Marco",
family = "Carone",
role = "ths",
comment = c(ORCID = "0000-0003-2106-0953")),
person(given = "Alex",
family = "Luedtke",
role = "ths",
comment = c(ORCID = "0000-0002-9936-3236")))
A testing framework for testing the multivariate point null hypothesis.
A testing framework described in Elder et al. (2022) <arXiv:2203.01897> to test the multivariate point null hypothesis.  After the user selects a parameter of interest and defines the assumed data generating mechanism, this information should be encoded in functions for the parameter estimator and its corresponding influence curve. Some parameter and data generating mechanism combinations have codings in this package, and are explained in detail in the article.
MASS, stats, SuperLearner, glmnet, dplyr, rlang, ggplot2,
tidyr

An Algorithm for Automatic Peak Detection in Noisy Periodic and
Quasi- Periodic Signals
A method for automatic detection of peaks in noisy periodic and
quasi-periodic signals. This method, called automatic multiscale-based peak
detection (AMPD), is based on the calculation and analysis of the local maxima
scalogram, a matrix comprising the scale-dependent occurrences of local maxima.