This function produces both the numerical and graphical summaries of the QTL hotspot detection in the genomes that are available on the worldwide web including the flanking markers of QTLs.

Construct Nomogram for Competing Risk Models
c(
person("Michael", "Kattan", email = "kattanm@ccf.org", role = "aut"),
person("Changhong", "Yu", email = "yuc@ccf.org", role = "aut"),
person("Xinge", "Ji", email="jix@ccf.org", role="cre"))
Nomogram is constructed to predict cumulative incidence
rate, which is calculated by adjusting for competing causes other
than that of interest. K-fold cross-validation function is implemented
to validate the performance. Competing risk version of concordance index
is calculated. Methods are as described in: Kattan MW, Heller G,
Brennan MF (2003) <doi:10.1002/sim.1574>.
Michael Kattan [aut],
Changhong Yu [aut],
Xinge Ji [cre]

Quantity-Intensity Relationship of Soil Potassium
c(person(given = "Bappa",
family = "Das",
role = c("aut", "cre"),
email = "bappa.iari.1989@gmail.com",
comment = c(ORCID = "0000-0003-1286-1492")),
person("Debarup", "Das", email = "debarupds@gmail.com", role = c("aut", "ctb")))
The quantity-intensity (Q/I) relationships, first introduced by Beckett
(1964), can be employed to assess the K supplying capacity of different soils
based on solid-solution exchange equilibria. Such relationships describe the
changes in K+ concentration in the soil solution (or the intensity factor) in
relation to the corresponding changes in K+ at exchange sites of the soil
(or the capacity or quantity factor). Activity ratio of K to Ca or Ca+Mg
is generally used as the variable denoting the intensity, whereas, change
in exchangeable K is used to denote the quantity factor.
Bappa Das [aut, cre] (<https://orcid.org/0000-0003-1286-1492>),
Debarup Das [aut, ctb]

Estimate the Coefficients for Non-Convex Penalized Quantile
Regression Model by using QICD Algorithm
c(person("Bo", "Peng", role = c("aut", "cre"),
email = "peng0199@umn.edu"),
person("Rondall", "E. Jones", role = "ctb"),
person("John","A. Wisniewski", role = "ctb"))
Bo Peng [aut, cre],
Rondall E. Jones [ctb],
John A. Wisniewski [ctb]
Extremely fast algorithm "QICD", Iterative Coordinate
Descent Algorithm for High-dimensional Nonconvex Penalized Quantile
Regression. This algorithm combines the coordinate descent algorithm
in the inner iteration with the majorization minimization step
in the outside step. For each inner univariate minimization problem,
we only need to compute a one-dimensional weighted median,
which ensures fast computation. Tuning parameter selection is based
on two different method: the cross validation and BIC for
quantile regression model. Details are described in the Peng,B and Wang,L. (2015)
linked to via the URL below with <DOI:10.1080/10618600.2014.913516>.