spsanderson r-universe repositoryhttps://spsanderson.r-universe.devPackage updated in spsandersoncranlike-server 0.18.57https://github.com/spsanderson.png?size=400spsanderson r-universe repositoryhttps://spsanderson.r-universe.devThu, 12 Sep 2024 12:55:25 GMT[spsanderson] RandomWalker 0.1.0spsanderson@gmail.com (Steven Sanderson)Generates random walks of various types by providing a set
of functions that are compatible with the 'tidyverse'. The
functions provided in the package make it simple to create
random walks with a variety of properties, such as how many
simulations to run, how many steps to take, and the
distribution of random walk itself.https://github.com/r-universe/spsanderson/actions/runs/10831727621Thu, 12 Sep 2024 12:55:25 GMTRandomWalker0.1.0successhttps://spsanderson.r-universe.devhttps://github.com/spsanderson/RandomWalkergetting-started.Rmdgetting-started.htmlGetting Started with RandomWalker2024-07-12 12:57:312024-09-06 16:56:54[spsanderson] healthyR.ai 0.1.0.9000spsanderson@gmail.com (Steven Sanderson)Hospital machine learning and ai data analysis workflow
tools, modeling, and automations. This library provides many
useful tools to review common administrative hospital data.
Some of these include predicting length of stay, and readmits.
The aim is to provide a simple and consistent verb framework
that takes the guesswork out of everything.https://github.com/r-universe/spsanderson/actions/runs/10812533263Wed, 11 Sep 2024 13:13:30 GMThealthyR.ai0.1.0.9000successhttps://spsanderson.r-universe.devhttps://github.com/spsanderson/healthyR.aiauto-kmeans.Rmdauto-kmeans.htmlAuto K-Means with healthyR.ai2022-02-22 18:29:512022-02-24 17:12:51kmeans-umap.Rmdkmeans-umap.htmlClustering with K-Means and UMAP2022-09-30 01:09:262022-09-30 01:09:26getting-started.Rmdgetting-started.htmlGetting Started with healthyR.ai2021-06-23 01:54:182022-11-15 20:30:41[spsanderson] healthyR.ts 0.3.0.9000spsanderson@gmail.com (Steven Sanderson)Hospital time series data analysis workflow tools,
modeling, and automations. This library provides many useful
tools to review common administrative time series hospital
data. Some of these include average length of stay, and
readmission rates. The aim is to provide a simple and
consistent verb framework that takes the guesswork out of
everything.https://github.com/r-universe/spsanderson/actions/runs/10803767013Wed, 11 Sep 2024 01:28:01 GMThealthyR.ts0.3.0.9000successhttps://spsanderson.r-universe.devhttps://github.com/spsanderson/healthyR.tsgetting-started.Rmdgetting-started.htmlGetting Started with healthyR.ts2020-12-05 03:08:012022-03-17 16:16:25using-tidy-fft.Rmdusing-tidy-fft.htmlUsing Tidy FFT2021-09-24 19:50:202022-06-08 17:20:00[spsanderson] healthyR.data 1.1.1.9000spsanderson@gmail.com (Steven Sanderson)Provides data for functions typically used in the
'healthyR' package.https://github.com/r-universe/spsanderson/actions/runs/10748010390Tue, 09 Jul 2024 01:33:31 GMThealthyR.data1.1.1.9000successhttps://spsanderson.r-universe.devhttps://github.com/spsanderson/healthyR.data[spsanderson] healthyR 0.2.2.9000spsanderson@gmail.com (Steven Sanderson)Hospital data analysis workflow tools, modeling, and
automations. This library provides many useful tools to review
common administrative hospital data. Some of these include
average length of stay, readmission rates, average net pay
amounts by service lines just to name a few. The aim is to
provide a simple and consistent verb framework that takes the
guesswork out of everything.https://github.com/r-universe/spsanderson/actions/runs/10661261327Thu, 04 Jul 2024 11:47:46 GMThealthyR0.2.2.9000successhttps://spsanderson.r-universe.devhttps://github.com/spsanderson/healthyRgetting-started.Rmdgetting-started.htmlGetting Started with healthyR2020-10-08 19:00:542021-06-21 13:31:47[spsanderson] TidyDensity 1.5.0.9000spsanderson@gmail.com (Steven Sanderson)To make it easy to generate random numbers based upon the
underlying stats distribution functions. All data is returned
in a tidy and structured format making working with the data
simple and straight forward. Given that the data is returned in
a tidy 'tibble' it lends itself to working with the rest of the
'tidyverse'.https://github.com/r-universe/spsanderson/actions/runs/10590490801Thu, 30 May 2024 11:53:16 GMTTidyDensity1.5.0.9000successhttps://spsanderson.r-universe.devhttps://github.com/spsanderson/TidyDensitygetting-started.Rmdgetting-started.htmlGetting Started with TidyDensity2022-01-14 20:15:492022-01-20 15:20:21[spsanderson] tidyAML 0.0.5.9000spsanderson@gmail.com (Steven Sanderson)The goal of this package will be to provide a simple
interface for automatic machine learning that fits the
'tidymodels' framework. The intention is to work for regression
and classification problems with a simple verb framework.https://github.com/r-universe/spsanderson/actions/runs/10544322115Sat, 27 Apr 2024 13:50:41 GMTtidyAML0.0.5.9000successhttps://spsanderson.r-universe.devhttps://github.com/spsanderson/tidyAMLgetting-started.Rmdgetting-started.htmlGetting Started with tidyAML2022-12-01 22:25:082023-12-18 16:40:28[spsanderson] BRVM 5.0.1koffisessie@gmail.com (Sessie Koffi Frederic)Provide real-time access to data from the Regional
Securities Exchange SA, commonly known as the 'BRVM' stock
exchange. The goal is to facilitate data access for users of
the R programming language. The package includes a variety of
data that can be accessed by calling functions.https://github.com/r-universe/spsanderson/actions/runs/10519754717Sun, 25 Feb 2024 22:22:08 GMTBRVM5.0.1successhttps://spsanderson.r-universe.devhttps://github.com/Koffi-Fredysessie/BRVMgetting-started.Rmdgetting-started.htmlGetting Started with BRVM2022-03-01 06:04:192022-03-01 06:04:21[spsanderson] healthyverse 1.0.4.9000spsanderson@gmail.com (Steven Sanderson)The 'healthyverse' is a set of packages that work in
harmony because they share common data representations and
'API' design. This package is designed to make it easy to
install and load multiple 'healthyverse' packages in a single
step.https://github.com/r-universe/spsanderson/actions/runs/10650443179Thu, 04 Jan 2024 23:48:59 GMThealthyverse1.0.4.9000successhttps://spsanderson.r-universe.devhttps://github.com/spsanderson/healthyversegetting-started.Rmdgetting-started.htmlGetting Started with the healthyverse2021-02-08 03:01:112021-02-13 18:09:46