c(person("Kisung", "You", role = c("aut", "cre"), email = "kyoustat@gmail.com",comment=c(ORCID="0000-0002-8584-459X")), person("Changhee","Suh",role=c("ctb"),email="cs19bc@my.fsu.edu"))
ADMM (>= 0.2.2), CVXR (>= 1.0), Rcpp (>= 0.12.10), RcppDE,
Rcsdp, Rdpack, RSpectra, graphics, maotai (>= 0.1.5), stats,
utils
Kisung You [aut, cre] (<https://orcid.org/0000-0002-8584-459X>),
Changhee Suh [ctb]

CVXR (>= 1.0), Rcpp (>= 0.12.10), RcppDE, Rcsdp, Rdpack,
RSpectra, graphics, maotai (>= 0.1.5), stats, utils

CVXR (>= 1.0), Rcpp (>= 0.12.15), RcppDE, Rcsdp, Rdpack,
RSpectra, graphics, maotai (>= 0.1.5), stats, utils

We provide linear and nonlinear dimension reduction techniques.
Intrinsic dimension estimation methods for exploratory analysis are also provided.
For more details on the package, see the paper by You (2020) <arXiv:2005.11107>.
CVXR (>= 1.0), Rcpp (>= 0.12.15), RcppDE, Rcsdp, Rdpack,
RSpectra, graphics, maotai (>= 0.1.6), mclustcomp, stats, utils

CVXR (>= 1.0), MASS, RANN, Rcpp (>= 0.12.15), RcppDE, Rcsdp,
Rdpack, RSpectra, graphics, maotai (>= 0.1.8), mclustcomp,
stats, utils

c(person("Kisung", "You", role = c("aut", "cre"), email = "kisungyou@outlook.com",comment=c(ORCID="0000-0002-8584-459X")), person("Changhee","Suh",role=c("ctb"),email="cs19bc@my.fsu.edu"))

CVXR (>= 1.0), MASS, RANN, Rcpp (>= 0.12.15), RcppDE, Rcsdp,
Rdpack, RSpectra, graphics, maotai (>= 0.2.4), mclustcomp,
stats, utils

c(person("Kisung", "You", role = c("aut", "cre"), email = "kisungyou@outlook.com",comment=c(ORCID="0000-0002-8584-459X")), person("Changhee","Suh",role=c("ctb"),email="cs19bc@my.fsu.edu"), person("Dennis","Shung",role=c("ctb"), email="dennis.shung@yale.edu"))
Kisung You [aut, cre] (<https://orcid.org/0000-0002-8584-459X>),
Changhee Suh [ctb],
Dennis Shung [ctb]

We provide linear and nonlinear dimension reduction techniques.
Intrinsic dimension estimation methods for exploratory analysis are also provided.
For more details on the package, see the paper by You and Shung (2022) <doi:10.1016/j.simpa.2022.100414>.
ADMM, CVXR (>= 1.0), MASS, RANN, Rcpp (>= 0.12.15), RcppDE,
Rdpack, RSpectra, graphics, maotai (>= 0.2.4), mclustcomp,
stats, utils