Provides companion function for analysing the performance of
classification models. Also, provides function to optimise probability cut-
off score based on used specified objectives, Plot 'ROC' Curve in 'ggplot2',
'AUROC', 'IV', 'WOE' Calculation, 'KS Statistic' etc to aid accuracy improvement
in binary classification models.

Multiple Imputation for Informative Censoring
c(
person("David", "Ruau",
email='david.ruau@astrazeneca.com',
role=c("aut")),
person("Nikolas", "Burkoff",
role=c("aut")),
person("Jonathan", "Bartlett",
email='jonathan.bartlett1@astrazeneca.com',
role=c("aut","cre")),
person("Dan", "Jackson",
email='dan.jackson@mrc-bsu.cam.ac.uk',
role=c("aut")),
person("Edmund", "Jones",
email='epaj2@medschl.cam.ac.uk',
role=c("aut")),
person("Martin", "Law",
email='martin.law@mrc-bsu.cam.ac.uk',
role=c("aut")),
person("Paul", "Metcalfe",
email='paul.metcalfe@astrazeneca.com',
role=c("aut"))
)
David Ruau [aut],
Nikolas Burkoff [aut],
Jonathan Bartlett [aut, cre],
Dan Jackson [aut],
Edmund Jones [aut],
Martin Law [aut],
Paul Metcalfe [aut]
Multiple Imputation for Informative Censoring.
This package implements two methods. Gamma Imputation
from Jackson et al. (2014) <DOI:10.1002/sim.6274> and Risk Score Imputation
from Hsu et al. (2009) <DOI:10.1002/sim.3480>.

c(
person("David", "Ruau",
email='davidruau@gmail.com',
role=c("aut")),
person("Nikolas", "Burkoff",
role=c("aut")),
person("Jonathan", "Bartlett",
email='j.w.bartlett@bath.ac.uk',
role=c("aut","cre")),
person("Dan", "Jackson",
email='daniel.jackson1@astrazeneca.com',
role=c("aut")),
person("Edmund", "Jones",
email='epaj2@medschl.cam.ac.uk',
role=c("aut")),
person("Martin", "Law",
email='martin.law@mrc-bsu.cam.ac.uk',
role=c("aut")),
person("Paul", "Metcalfe",
email='paul.metcalfe@astrazeneca.com',
role=c("aut"))
)
Multiple Imputation for Informative Censoring.
This package implements two methods. Gamma Imputation
described in <DOI:10.1002/sim.6274> and Risk Score Imputation
described in <DOI:10.1002/sim.3480>.

Implements functions for simulation-based inference. In particular, implements functions to perform likelihood inference from data summaries whose distributions are simulated.
spaMM (>= 1.9.14), proxy, geometry, Matrix, rcdd, blackbox,
mvtnorm, Rmixmod (>= 2.0.4), methods, numDeriv, viridis
c(person("François", "Rousset", role = c("aut", "cre", "cph"),
email = "francois.rousset@umontpellier.fr"))