lares is an R package designed to automate, improve, and accelerate everyday analytics and machine learning tasks. It offers a wide variety of functions grouped in families for:
Tip: See all available functions and documentation here or type
?lares::
in RStudio to explore interactively.
# CRAN VERSION install.packages("lares") # DEV VERSION (latest updates) # If you don't have remotes installed yet, run: install.packages('remotes') remotes::install_github("laresbernardo/lares") # For a full installation with recommended dependencies: remotes::install_github("laresbernardo/lares", dependencies = TRUE)
Windows users: You may need to install RTools to build the dev version.
Read aboutlares
in action!
lares
h2o_automl()
, plot_model_results()
– Automated machine learning pipeline with optimal model selection and visualizations.freqs()
, distr()
, corr_var()
, corr_cross()
– Instantly summarize, visualize, and uncover relationships in your data.ohse()
– Efficient and smart one-hot encoding for categorical variables.cache_*
– Speed up workflows by caching expensive computations.robyn_*
– Additional functions to support Robyn inputs and outputs.fb_*
– Interact with Meta's Marketing APIgpt_*
– Structured prompts builder and interact with OpenAI's APIread_encrypted()
, write_encrypted()
– Interact with encrypted files to keep secrets safe?lares::function_name
in RStudio for detailed help on any function.RetroSearch is an open source project built by @garambo | Open a GitHub Issue
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