lares
is a library used to automate, improve, and speed everyday Analysis and Machine Learning tasks. It also simplifies the installation process of libraries, distribution, and reproducible research. You are most welcome to install, use, and comment on any of its code and functionalities. Feel free to contact me and/or add me on Linkedin! Do let me know where did you got my contact from ;)
devtools::install_github("laresbernardo/lares")
I currently don't have planned to post lares
library to CRAN yet, but who knows what might happen!
lares::updateLares() # From Github repository (Bitbucket discontinued)
lares::updateLares(local=T) # Personal and local files, not necessarily deployed
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DataScience+: Visualizations for Classification Models Results
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DataScience+: Visualizations for Regression Models Results
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DataScience+: AutoML and DALEX for Dataset Understanding
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DataScience+: Portfolio's Performance and Report
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DataScience+: Plot timelines with Gantt charts
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RMarkdown: Frequencies, Distributions, and Variable Correlation
You can type lares::
in RStudio and you will see a pop-up with all the functions that are currently available within the package. If in doubt, you can use the ?
function (i.e. ?lares::function
) and the Help tab will display a short explanation on each function and its parameters. If you want to check all the documentation, simply run help(package = lares)
.
If you encounter a clear bug, please share with us a reproducible example on Github and I'll take care of it. For inquiries, and other matters, you can email me directly.