Pedro Duarte Silva <psilva@porto.ucp.pt>, Paula Brito <mpbrito.fep.up.pt>

Pedro Duarte Silva <psilva@porto.ucp.pt>, Paula Brito
<mpbrito.fep.up.pt>
Implements methodologies for modelling interval data by Normal
and Skew-Normal distributions, considering appropriate parameterizations of
the variance-covariance matrix that takes into account the intrinsic nature of
interval data, and lead to four different possible configuration structures.
The Skew-Normal parameters can be estimated by maximum likelihood, while Normal
parameters may be estimated by maximum likelihood or robust trimmed maximum
likelihood methods.
MASS, methods, miscTools, robustbase, rrcov, pcaPP

MASS, methods, miscTools, robustbase, rrcov, pcaPP, mclust

MASS, methods, miscTools, robustbase, rrcov, pcaPP, mclust,
ggplot2

MASS, methods, miscTools, robustbase, rrcov, pcaPP, mclust,
ggplot2, GGally

MASS, miscTools, robustbase, rrcov, pcaPP, mclust, ggplot2,
GGally, sn (>= 1.3.0)

MASS, miscTools, robustbase, rrcov, pcaPP, mclust, ggplot2,
GGally, sn (>= 1.3.0), withr

Multiple Approximate Kernel Learning (MAKL)
c(person(given = "Ayyüce Begüm",
family = "Bektaş",
role = c("aut", "cre"),
email = "ayyucebektas17@ku.edu.tr",
comment = c(ORCID = "0000-0002-1432-9056")),
person(given = "Mehmet",
family = "Gönen",
role = "aut",
email = "mehmetgonen@ku.edu.tr",
comment = c(ORCID = "0000-0002-2483-075X")))
Fits multiple approximate kernel learning (MAKL) models that are scalable, efficient and interpretable.
Ayyüce Begüm Bektaş [aut, cre]
(<https://orcid.org/0000-0002-1432-9056>),
Mehmet Gönen [aut] (<https://orcid.org/0000-0002-2483-075X>)

R package associated with the Multiple Approximate Kernel Learning (MAKL) algorithm proposed in <doi:10.1093/bioinformatics/btac241>. The algorithm fits multiple approximate kernel learning (MAKL) models that are fast, scalable and interpretable.

Quantitative analysis of MALDI-TOF MS data
Quantitative analysis of MALDI-TOF MS data This package
should provide an easy framework for quantitative analysis of
MALDI-TOF mass spectrometry data. Up to now only importing and
plotting of a single mass spectrum are supported.