add jss_paper preprint to vignettes

DESCRIPTION

@@ -61,7 +61,9 @@ Suggests:
     tensorflow (>= 2.0.0),
     testthat (>= 2.1.0),
     tidyr (>= 1.0.2),
-    tibble
+    tibble,
+    bench,
+    survival
 LinkingTo: 
     BH,
     Rcpp,

vignettes/bibliography.bib

@@ -0,0 +1,329 @@
+@article{Rosenstock2022,
+    author = {Axel Bücher and Alexander Rosenstock},
+    title = {Micro-level prediction of outstanding claim counts based on novel mixture models and neural networks.},
+    year = {2022},
+    JOURNAL = {Eur. Actuar. J.},
+    FJOURNAL = {European Actuarial Journal},
+    YEAR = {2022},
+    OPTISSN = {2190-9733},
+    MRCLASS = {Expansion},
+    MRNUMBER = {3878376},
+    doi = {10.1007/s13385-022-00314-4}
+}
+
+@misc{Rosenstock2022supp,
+    author = {Axel Bücher and Alexander Rosenstock},
+    title = {Supplementary Material: Micro-level prediction of outstanding claim counts based on novel mixture models and neural networks.},
+    year = {2022},
+    url = {https://link.springer.com/article/10.1007/s13385-022-00314-4#Sec27}
+}
+
+@article{Rosenstock2023,
+    author = {Axel Bücher and Alexander Rosenstock},
+    title = {Combined modelling of micro-level outstanding claim counts and individual claim frequencies in general insurance},
+    journal = {SSRN},
+    year = {2023},
+    DOI = {10.2139/ssrn.4564502},
+}
+
+@article{fitdistrplus,
+    title = {fitdistrplus: An R Package for Fitting Distributions},
+    volume = {64},
+    doi = {10.18637/jss.v064.i04},
+    number = {4},
+    journal = {Journal of Statistical Software},
+    author = {Delignette-Muller, Marie Laure and Dutang, Christophe},
+    year = {2015},
+    pages = {1–34}
+}
+
+@article{evmix,
+    title = {evmix: An R package for Extreme Value Mixture Modeling, Threshold Estimation and Boundary Corrected Kernel Density Estimation},
+    volume = {84},
+    doi = {10.18637/jss.v084.i05},
+    number = {5},
+    journal = {Journal of Statistical Software},
+    author = {Hu, Yang and Scarrott, Carl},
+    year = {2018},
+    pages = {1–27}
+}
+
+@Book{MASS,
+    title = {Modern Applied Statistics with S},
+    author = {W. N. Venables and B. D. Ripley},
+    publisher = {Springer},
+    edition = {Fourth},
+    address = {New York},
+    year = {2002},
+    note = {ISBN 0-387-95457-0},
+    url = {https://www.stats.ox.ac.uk/pub/MASS4/},
+}
+
+@Manual{survival,
+    title = {A Package for Survival Analysis in R},
+    author = {Terry M Therneau},
+    year = {2023},
+    note = {R package version 3.5-7},
+    url = {https://CRAN.R-project.org/package=survival},
+}
+
+@Manual{ExtDist,
+    title = {ExtDist: Extending the Range of Functions for Probability Distributions},
+    author = {Haizhen Wu and A. Jonathan R. Godfrey and Kondaswamy Govindaraju and Sarah Pirikahu},
+    year = {2023},
+    note = {R package version 0.7-1},
+    url = {https://CRAN.R-project.org/package=ExtDist},
+}
+
+@Manual{ROOPSD,
+    title = {ROOPSD: R Object Oriented Programming for Statistical Distribution},
+    author = {Yoann Robin},
+    year = {2022},
+    note = {R package version 0.3.8},
+    url = {https://CRAN.R-project.org/package=ROOPSD},
+}
+
+@Article{flexsurv,
+    title = {{flexsurv}: A Platform for Parametric Survival Modeling in {R}},
+    author = {Christopher Jackson},
+    journal = {Journal of Statistical Software},
+    year = {2016},
+    volume = {70},
+    number = {8},
+    pages = {1--33},
+    doi = {10.18637/jss.v070.i08},
+}
+
+@Manual{tensorflowR,
+    title = {tensorflow: R Interface to 'TensorFlow'},
+    author = {JJ Allaire and Yuan Tang},
+    year = {2022},
+    note = {R package version 2.11.0},
+    url = {https://CRAN.R-project.org/package=tensorflow},
+}
+
+@Manual{kerasR,
+    title = {keras: R Interface to 'Keras'},
+    author = {Chollet, Fran\c{c}ois and Allaire, JJ and others},
+    year = {2017},
+    publisher = {GitHub},
+    url = {https://github.com/rstudio/keras}
+}
+
+@article{Gui2018,
+    title = {Fitting the Erlang mixture model to data via a GEM-CMM algorithm},
+    journal = {Journal of Computational and Applied Mathematics},
+    volume = {343},
+    pages = {189-205},
+    year = {2018},
+    issn = {0377-0427},
+    doi = {https://doi.org/10.1016/j.cam.2018.04.032},
+    author = {Wenyong Gui and Rongtan Huang and X. Sheldon Lin},
+    keywords = {Erlang mixture model, Insurance loss data, Generalized EM algorithm, Clusterized method of moments, Local search method},
+}
+
+@article{deepregression,
+    title = {deepregression: A Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression},
+    volume = {105},
+    doi = {10.18637/jss.v105.i02},
+    number = {2},
+    journal = {Journal of Statistical Software},
+    author = {Rügamer, David and Kolb, Chris and Fritz, Cornelius and Pfisterer, Florian and Kopper, Philipp and Bischl, Bernd and Shen, Ruolin and Bukas, Christina and Barros de Andrade e Sousa, Lisa and Thalmeier, Dominik and Baumann, Philipp F. M. and Kook, Lucas and Klein, Nadja and Müller, Christian L.},
+    year = {2023},
+    pages = {1–31}
+}
+
+@article{GAMLSS,
+    title = {Generalized Additive Models for Location Scale and Shape (GAMLSS) in R},
+    volume = {23},
+    doi = {10.18637/jss.v023.i07},
+    number = {7},
+    journal = {Journal of Statistical Software},
+    author = {Stasinopoulos, D. Mikis and Rigby, Robert A.},
+    year = {2007},
+    pages = {1–46}
+}
+
+@Manual{R6,
+    title = {R6: Encapsulated Classes with Reference Semantics},
+    author = {Winston Chang},
+    year = {2021},
+    note = {R package version 2.5.1},
+    url = {https://CRAN.R-project.org/package=R6},
+}
+
+@misc{nloptr,
+    title = {The {NLopt} nonlinear-optimization package},
+    author = {Steven G. Johnson},
+    year = {2007},
+    howpublished = {\url{https://github.com/stevengj/nlopt}}
+}
+
+@Article{nloptr-slsqp,
+    author = {Dieter Kraft},
+    title = {Algorithm 733: {TOMP}--Fortran modules for optimal control calculations},
+    doi = {10.1145/192115.192124},
+    year = {1994},
+    volume = {20},
+    pages = {262--281},
+    journal = {{ACM} Transactions on Mathematical Software}
+}
+
+@Article{nloptr-tnewton,
+    author = {Ron S. Dembo and Trond Steihaug},
+    title = {Truncated-{N}ewton algorithms for large-scale unconstrained optimization},
+    doi = {10.1007/bf02592055},
+    year = {1983},
+    volume = {26},
+    pages = {190--212},
+    journal = {Mathematical Programming}
+}
+
+@Article{nloptr-lbfgs,
+    author = {Dong C. Liu and Jorge Nocedal},
+    title = {On the limited memory {BFGS} method for large scale optimization},
+    doi = {10.1007/bf01589116},
+    year = {1989},
+    volume = {45},
+    pages = {503--528},
+    journal = {Mathematical Programming}
+}
+
+@Book{GroeneboomWellner1992,
+    author = {Piet Groeneboom and Jon A. Wellner},
+    title = {Information Bounds and Nonparameteric Maximum Likelihood Estimation},
+    doi = {10.1007/978-3-0348-8621-5},
+    year = {1992},
+    publisher = {Birkhäuser Basel},
+    series = {Oberwolfach Seminars},
+    issn = {1661-237X},
+    isbn = {978-3-0348-8621-5}
+}
+
+@Book{DoerreEmura2019,
+    author = {Achim D\"orre and Takeshi Emura},
+    title = {Analysis of Doubly Truncated Data},
+    subtitle = {An Introduction},
+    doi = {10.1007/978-981-13-6241-5},
+    year = {2019},
+    publisher = {Springer Singapore},
+    series = {SpringerBriefs in Statistics},
+    issn = {2191-544X},
+    isbn = {978-981-13-6241-5}
+}
+
+@Article{ll2012,
+    title = {Modeling Dependent Risks with Multivariate Erlang Mixtures},
+    journal = {ASTIN Bulletin},
+    author = {Lee, Simon C.K. and Lin, X. Sheldon},
+    year = {2012},
+    volume = {42},
+    number = {1},
+    pages = {153–180},
+    doi = {10.2143/AST.42.1.2160739},
+    publisher = {Cambridge University Press}
+}
+
+@InProceedings{Kingma2015,
+    title = {Adam: A Method for Stochastic Optimization},
+    booktitle = {Proceedings of the Third International Conference on Learning Representations},
+    author = {Diederik P. Kingma and Jimmy Ba},
+    journal = {CoRR},
+    year = {2015},
+    series = {ICLR'15}
+}
+
+@misc{tensorflow,
+    title = { {TensorFlow}: Large-Scale Machine Learning on Heterogeneous Systems},
+    url = {https://www.tensorflow.org/},
+    note = {Software available from tensorflow.org},
+    author = {
+    Mart\'{i}n Abadi and
+ Ashish Agarwal and
+ Paul Barham and
+ Eugene Brevdo and
+ Zhifeng Chen and
+ Craig Citro and
+ Greg S. Corrado and
+ Andy Davis and
+ Jeffrey Dean and
+ Matthieu Devin and
+ Sanjay Ghemawat and
+ Ian Goodfellow and
+ Andrew Harp and
+ Geoffrey Irving and
+ Michael Isard and
+ Yangqing Jia and
+ Rafal Jozefowicz and
+ Lukasz Kaiser and
+ Manjunath Kudlur and
+ Josh Levenberg and
+ Dandelion Man\'{e} and
+ Rajat Monga and
+ Sherry Moore and
+ Derek Murray and
+ Chris Olah and
+ Mike Schuster and
+ Jonathon Shlens and
+ Benoit Steiner and
+ Ilya Sutskever and
+ Kunal Talwar and
+ Paul Tucker and
+ Vincent Vanhoucke and
+ Vijay Vasudevan and
+ Fernanda Vi\'{e}gas and
+ Oriol Vinyals and
+ Pete Warden and
+ Martin Wattenberg and
+ Martin Wicke and
+ Yuan Yu and
+ Xiaoqiang Zheng
+    },
+    year = {2015}
+}
+
+@article{Zhang2005,
+    author = {Zhang, Zhigang and Sun, Liuquan and Zhao, Xingqiu and Sun, Jianguo},
+    title = {Regression analysis of interval-censored failure time data with linear transformation models},
+    journal = {Canadian Journal of Statistics},
+    volume = {33},
+    number = {1},
+    pages = {61-70},
+    keywords = {Covariate effects, interval-censored failure time data, linear transformation models, semiparametric regression},
+    doi = {https://doi.org/10.1002/cjs.5540330105},
+    year = {2005}
+}
+
+@book{DobsonBarnett2018,
+    place = {Boca Raton},
+    edition = {4},
+    title = {An introduction to generalized linear models},
+    publisher = {CRC Press, Taylor \& Francis Group},
+    author = {Dobson, Annette J. and Barnett, Adrian G.},
+    isbn = {978-1-315-18278-0},
+    doi = {10.1201/9781315182780},
+    year = {2018}
+}
+
+@book{Sun2006,
+    author = {Sun, Jianguo},
+    title = {The statistical analysis of interval-censored failure time data},
+    series = {Statistics for Biology and Health},
+    publisher = {Springer, New York},
+    year = {2006},
+    pages = {xvi+302},
+    isbn = {978-0-387-32905-5},
+    doi = {10.1007/0-387-37119-2},
+    MRCLASS = {62-02 (62-07 62G05 62N01 62N05 92B15)},
+    MRNUMBER = {2287318},
+}
+
+
+@Manual{baseR,
+    title = {R: A Language and Environment for Statistical Computing},
+    author = {{R Core Team}},
+    organization = {R Foundation for Statistical Computing},
+    address = {Vienna, Austria},
+    year = {2023},
+    url = {https://www.R-project.org/},
+}