Create, Read, Write, and Work with 'iCalander' Files, Calendars
and Scheduling Data
c(
person("Robin", "Lovelace", email = "rob00x@gmail.com", role = c("aut", "cre"),
comment = c(ORCID = "0000-0001-5679-6536")),
person("Layik", "Hama", email = "layik.hama@gmail.com", role = c("aut"),
comment = c(ORCID = "0000-0003-1912-4890"))
)
Provides function to create, read, write, and work with 'iCalander' files
(which typically have '.ics' or '.ical' extensions), and the scheduling data,
calendars and timelines of people, organisations and other entities that they represent.
'iCalendar' is an open standard for
exchanging calendar and scheduling information between users and computers,
described at <https://icalendar.org/>.

Statistical models and tools for assay calibration
Perry Haaland <perry_haaland@bd.com>, Daniel Samarov <daniel_samarov@bd.com>,
Elaine McVey <elaine_mcvey@bd.com>
Provides basic S4 data structures and routines for
calibration of bioassays. A variety of linear and nonlinear
calibration curves can be fit to data. Most models have a
Power of the Mean option for nonconstant variances. Unknown
concentrations can be predicted from the calibration curve.

c(
person("Ricardo", "Oliveros-Ramos", email="ricardo.oliveros@gmail.com", role=c("aut", "cre")))
Automated Parameter Estimation for Complex (Ecological) Models
Automated parameter estimation for complex (ecological) models in R.
This package allows the parameter estimation or calibration of complex models,
including stochastic ones. It is a generic tool that can be used for fitting
any type of models, especially those with non-differentiable objective functions.
It supports multiple phases and constrained optimization.
It implements maximum likelihood estimation methods and automated construction
of the objective function from simulated model outputs.
See <http://roliveros-ramos.github.io/calibrar> for more details.
cmaes, optimx, foreach, parallel, stats, utils

Package for drawing calibrated scales with tick marks on (non-orthogonal)
variable vectors in scatterplots and biplots.