Unmatched regression refers to the regression setting where
covariates and predictors are collected separately/independently and so are not paired     together, as in the usual regression setting.   Balabdaoui, Doss, and Durot (2021) <arXiv:2007.00830>    study the unmatched regression setting where the univariate regression function is known to    be monotone.     This package implements methods for computing  the estimator developed in  Balabdaoui, Doss, and Durot (2021).  The main method is an active-set-trust-region-based method.

Unification of Clustering Results from Multiple Datasets using
External Specifications
Consensus clustering by the unification of clustering results from multiple datasets using external specifications.

Tools for creating universal numeric fingerprints for data.
Computes a univeral numeric fingerprint of the data.

Tools for Creating Universal Numeric Fingerprints for Data
c(person("Thomas", "Leeper", role = c("aut","cre"),
email = "thosjleeper@gmail.com"),
person("Micah", "Altman", role = c("aut")))
Computes a universal numeric fingerprint (UNF) for an R data object. UNF is a cryptographic hash or signature that can be used to uniquely identify (a version of) a rectangular dataset, or a subset thereof. UNF can be used, in tandem with a DOI, to form a persistent citation to a versioned dataset.
Thomas Leeper [aut, cre],
Micah Altman [aut]

Computes a universal numeric fingerprint (UNF) for an R data
object. UNF is a cryptographic hash or signature that can be used to uniquely
identify (a version of) a rectangular dataset, or a subset thereof. UNF can
be used, in tandem with a DOI, to form a persistent citation to a versioned
dataset.

c(person("Thomas J.", "Leeper",
role = c("aut", "cre"),
email = "thosjleeper@gmail.com",
comment = c(ORCID = "0000-0003-4097-6326")),
person("Micah", "Altman", role = c("aut")))
Thomas J. Leeper [aut, cre] (<https://orcid.org/0000-0003-4097-6326>),
Micah Altman [aut]

Computes a 'universal numeric fingerprint' ('UNF') for an R data
object. 'UNF' is a hash or signature that can be used to uniquely
identify (a version of) a rectangular dataset, or a subset thereof. 'UNF' can
be used, in tandem with a 'DOI', to form a persistent citation to a versioned
dataset.