c(person("Tarn", "Duong", role=c("aut","cre"), email="tarn.duong@gmail.com", comment=c(ORCID="0000-0002-1198-3482")),
person("Matt", "Wand", role="ctb", comment=c(ORCID="0000-0003-2555-896X")),
person("Jose", "Chacon", role="ctb"),
person("Artur", "Gramacki", role="ctb", comment=c(ORCID="0000-0002-1610-9743")))
Kernel smoothers for univariate and multivariate data, with comprehensive visualisation and bandwidth selection capabilities, including for densities, density derivatives, cumulative distributions, clustering, classification, density ridges, significant modal regions, and two-sample hypothesis tests. Chacon & Duong (2018) <doi:10.1201/9780429485572>.

Bandwidth matrices for kernel density estimators and kernel discriminant analysis for bivariate data

Bandwidth matrices for kernel density estimators and kernel discriminant analysis for multivariate data

Kernel density estimators and kernel discriminant analysis for multivariate data

Kernel density estimators and kernel discriminant analysis
for multivariate data

Kernel smoothers for univariate and multivariate data

c(
person("Kei","Nakagawa",email="kei.nak.0315@gmail.com",role=c("aut","cre"),comment = c(ORCID = "0000-0001-5046-8128")),
person("Shingo","Sashida",email="gs449901@gmail.com",role=c("aut"))
)
Prediction with k* nearest neighbor algorithm
based on a publication by Anava and Levy (2016) <arXiv:1701.07266>.
Kei Nakagawa [aut, cre] (<https://orcid.org/0000-0001-5046-8128>),
Shingo Sashida [aut]

A Bayesian Approach for Protein Residue Contact Prediction using
the Knob-Socket Model of Protein Tertiary Structure
Qiwei Li, David B. Dahl, Marina Vannucci, Hyun Joo, Jerry W. Tsai
Predicts a protein's residue contact map, based on the estimation of the corresponding knob-socket list. For more details, please refer to our paper:  Q. Li, D. B. Dahl, M. Vannucci, H. Joo, J. W. Tsai (2016), KScons: A Bayesian Approach for Protein Residue Contact Prediction using the Knob-socket Model of Protein Tertiary Structure, Bioinformatics, 32(24): 3774-3781 <doi:10.1093/bioinformatics/btw553>.