raphaels1 r-universe repositoryhttps://raphaels1.r-universe.devPackage updated in raphaels1cranlike-server 0.17.42https://github.com/raphaels1.png?size=400raphaels1 r-universe repositoryhttps://raphaels1.r-universe.devMon, 08 Jul 2024 13:44:53 GMT[raphaels1] distr6 1.8.4raphaelsonabend@gmail.com (Raphael Sonabend)An R6 object oriented distributions package. Unified
interface for 42 probability distributions and 11 kernels
including functionality for multiple scientific types.
Additionally functionality for composite distributions and
numerical imputation. Design patterns including wrappers and
decorators are described in Gamma et al. (1994,
ISBN:0-201-63361-2). For quick reference of probability
distributions including d/p/q/r functions and results we refer
to McLaughlin, M. P. (2001). Additionally Devroye (1986,
ISBN:0-387-96305-7) for sampling the Dirichlet distribution,
Gentle (2009) <doi:10.1007/978-0-387-98144-4> for sampling the
Multivariate Normal distribution and Michael et al. (1976)
<doi:10.2307/2683801> for sampling the Wald distribution.https://github.com/r-universe/raphaels1/actions/runs/9841552928Mon, 08 Jul 2024 13:44:53 GMTdistr61.8.4successhttps://raphaels1.r-universe.devhttps://github.com/alan-turing-institute/distr6distr6.rmddistr6.htmldistr62019-05-20 11:33:522024-02-23 14:24:33[raphaels1] survivalmodels 0.1.19raphaelsonabend@gmail.com (Raphael Sonabend)Implementations of classical and machine learning models
for survival analysis, including deep neural networks via
'keras' and 'tensorflow'. Each model includes a separated fit
and predict interface with consistent prediction types for
predicting risk, survival probabilities, or survival
distributions with 'distr6'
<https://CRAN.R-project.org/package=distr6>. Models are either
implemented from 'Python' via 'reticulate'
<https://CRAN.R-project.org/package=reticulate>, from code in
GitHub packages, or novel implementations using 'Rcpp'
<https://CRAN.R-project.org/package=Rcpp>. Novel machine
learning survival models wil be included in the package in
near-future updates. Neural networks are implemented from the
'Python' package 'pycox' <https://github.com/havakv/pycox> and
are detailed by Kvamme et al. (2019)
<https://jmlr.org/papers/v20/18-424.html>. The 'Akritas'
estimator is defined in Akritas (1994)
<doi:10.1214/aos/1176325630>. 'DNNSurv' is defined in Zhao and
Feng (2020) <arXiv:1908.02337>.https://github.com/r-universe/raphaels1/actions/runs/9741219439Mon, 01 Jul 2024 08:40:40 GMTsurvivalmodels0.1.19successhttps://raphaels1.r-universe.devhttps://github.com/RaphaelS1/survivalmodels[raphaels1] set6 0.2.6raphaelsonabend@gmail.com (Raphael Sonabend)An object-oriented package for mathematical sets,
upgrading the current gold-standard {sets}. Many forms of
mathematical sets are implemented, including (countably finite)
sets, tuples, intervals (countably infinite or uncountable),
and fuzzy variants. Wrappers extend functionality by allowing
symbolic representations of complex operations on sets,
including unions, (cartesian) products, exponentiation, and
differences (asymmetric and symmetric).https://github.com/r-universe/raphaels1/actions/runs/9867071832Fri, 01 Sep 2023 10:07:16 GMTset60.2.6successhttps://raphaels1.r-universe.devhttps://github.com/xoopR/set6set6.rmdset6.htmlIntroduction to set62019-11-23 11:44:332020-10-26 12:25:32[raphaels1] param6 0.2.4raphaelsonabend@gmail.com (Raphael Sonabend)By making use of 'set6', alongside the S3 and R6
paradigms, this package provides a fast and lightweight R6
interface for parameters and parameter sets.https://github.com/r-universe/raphaels1/actions/runs/9721644520Sun, 28 Aug 2022 07:43:30 GMTparam60.2.4successhttps://raphaels1.r-universe.devhttps://github.com/xoopR/param6[raphaels1] ooplah 0.2.0raphaelsonabend@gmail.com (Raphael Sonabend)Helper functions for coding object-oriented programming
with a focus on R6. Includes functions for assertions and
testing, looping, and re-usable design patterns including
Abstract and Decorator classes.https://github.com/r-universe/raphaels1/actions/runs/9901464962Fri, 25 Mar 2022 21:50:10 GMTooplah0.2.0successhttps://raphaels1.r-universe.devhttps://github.com/xoopR/ooplah[xoopr] ooplah 0.2.0raphaelsonabend@gmail.com (Raphael Sonabend)Helper functions for coding object-oriented programming
with a focus on R6. Includes functions for assertions and
testing, looping, and re-usable design patterns including
Abstract and Decorator classes.https://github.com/r-universe/xoopr/actions/runs/9816062111Fri, 25 Mar 2022 21:50:10 GMTooplah0.2.0successhttps://xoopr.r-universe.devhttps://github.com/xoopr/ooplah[xoopr] dictionar6 0.1.3raphaelsonabend@gmail.com (Raphael Sonabend)Efficient object-oriented R6 dictionary capable of holding
objects of any class, including R6. Typed and untyped
dictionaries are provided as well as the 'usual' dictionary
methods that are available in other OOP languages, for example
listing keys, items, values, and methods to get/set these.https://github.com/r-universe/xoopr/actions/runs/9689717013Fri, 25 Mar 2022 21:40:09 GMTdictionar60.1.3successhttps://xoopr.r-universe.devhttps://github.com/xoopr/dictionar6[raphaels1] dictionar6 0.1.3raphaelsonabend@gmail.com (Raphael Sonabend)Efficient object-oriented R6 dictionary capable of holding
objects of any class, including R6. Typed and untyped
dictionaries are provided as well as the 'usual' dictionary
methods that are available in other OOP languages, for example
listing keys, items, values, and methods to get/set these.https://github.com/r-universe/raphaels1/actions/runs/9638474601Fri, 25 Mar 2022 21:40:09 GMTdictionar60.1.3successhttps://raphaels1.r-universe.devhttps://github.com/xoopR/dictionar6[raphaels1] R62S3 1.4.3raphael.sonabend.15@ucl.ac.uk (Raphael Sonabend)After defining an R6 class, R62S3 is used to automatically
generate optional S3/S4 generics and methods for dispatch. Also
allows piping for R6 objects.https://github.com/r-universe/raphaels1/actions/runs/9639806577Fri, 25 Mar 2022 21:38:04 GMTR62S31.4.3successhttps://raphaels1.r-universe.devhttps://github.com/xoopR/R62S3