c(person(given="Vivekananda",
family="Tadala",
role=c("aut", "cre"),
email="vivekananda.tadala@dominodatalab.com"),
person(given="Sayan",
family="Nayak",
role=c("ctb"),
email="sayan.nayak@dominodatalab.com"),
person("Domino Data Lab Inc.", role=c("cph")))
Instrument prediction code that lets you capture inputs
to the model, predictions, prediction properties, and other metadata.
covr, DT, lintr, testthat, spelling, rhub, mockery
Vivekananda Tadala [aut, cre],
Sayan Nayak [ctb],
Domino Data Lab Inc. [cph]

c(person(given="Vivekananda",
family="Tadala",
role=c("aut", "cre"),
email="vivekananda.tadala@dominodatalab.com"),
person("Domino Data Lab Inc.", role=c("cph")))
covr, DT, lintr, testthat, spelling, rhub
Vivekananda Tadala [aut, cre],
Domino Data Lab Inc. [cph]

Function to construct D-optimal experimental designs
Bill Venables <Bill.Venables@CMIS.CSIRO.AU>,
ported to R by Kjetil Halvorsen.
A function, Dopt, to construct D-optimal experimental designs
using a Fedorov exchange algorithm.

Planning and Analyzing Dose Finding experiments
Bjoern Bornkamp, Jose Pinheiro, Frank Bretz
lattice, mvtnorm, numDeriv, R (>= 2.4.1)
The DoseFinding package provides functions for the design
and analysis of dose-finding experiments (for example
pharmaceutical Phase II clinical trials). It provides functions
for: multiple contrast tests, fitting non-linear dose-response
models, calculating optimal designs and an implementation of
the MCPMod methodology. Currently only normally distributed
homoscedastic endpoints are supported.

The DoseFinding package provides functions for the design
and analysis of dose-finding experiments (for example
pharmaceutical Phase II clinical trials). It provides functions
for: multiple contrast tests, fitting non-linear dose-response
models, calculating optimal designs and an implementation of
the MCPMod methodology.

The DoseFinding package provides functions for the design and analysis
of dose-finding experiments (with focus on pharmaceutical Phase
II clinical trials). It provides functions for: multiple contrast
tests, fitting non-linear dose-response models (using Bayesian and
non-Bayesian estimation), calculating optimal designs and an
implementation of the MCPMod methodology.