Packaged: 2022-06-08 22:53:58 UTC; jhainmueller

Title: Synthetic Control Method to Forecast Series
Description: Not a new method implementation.
Usage of the Synthetic Control Method, see Abadie et al. (2011) <doi:10.18637/jss.v042.i13>,
as an ad-hoc approach to forecast series with panel in a specific context. The context being: There are units in different stages of a certain journey, there the assumption that the units’ behavior throw out the journey are similar is valid and there are not enough data to use traditional forecasting methods.
For a usage example see the package home page documentation.
Imports: dplyr, tidyr, Synth, utils, forcats

Suggests: knitr, covr, testthat (>= 3.0.0), rmarkdown, badger

Package: SynthETIC
Title: Synthetic Experience Tracking Insurance Claims
Version: 0.1.0
Authors@R: c(
person("Benjamin", "Avanzi", role = "aut", email = "b.avanzi@unimelb.edu.au"),
person("Greg", "Taylor", role = "aut", email = "greg_taylor60@hotmail.com"),
person("Melantha", "Wang", role = c("aut", "cre"), email = "wang.melantha@gmail.com"),
person("Bernard", "Wong", role = "aut", email = "bernard.wong@unsw.edu.au"))
Author: Benjamin Avanzi [aut],
Greg Taylor [aut],
Melantha Wang [aut, cre],
Bernard Wong [aut]
Maintainer: Melantha Wang <wang.melantha@gmail.com>
Imports: stats, ggplot2, magrittr, rlang
Description: Creation of an individual claims simulator which generates various
features of non-life insurance claims. An initial set of test parameters,
designed to mirror the experience of an Auto Liability portfolio, were set
up and applied by default to generate a realistic test data set of
individual claims (see vignette). The simulated data set then allows
practitioners to back-test the validity of various reserving models and to
prove and/or disprove certain actuarial assumptions made in claims
modelling. The distributional assumptions used to generate this data set can
be easily modified by users to match their experiences. Reference: Avanzi B,
Taylor G, Wang M, Wong B (2020) "SynthETIC: an individual insurance claim
simulator with feature control" <arXiv:2008.05693>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown, dplyr, RColorBrewer
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2020-08-21 11:23:06 UTC; melantha
Repository: CRAN
Date/Publication: 2020-08-24 15:50:30 UTC