README.md
In Nanoputian628/nano: Data Visualisation and Model Selection
nano
The goal of nano is to streamline the entire modelling process from the data preparation stage to model to running model diagnostics. Functions are user-friendly with minimal arguments to ensure ease of use, while remaining flexible. The main power of nano is that it allows all models to built in a single object to avoid cluttering of the environment and make it easy to track different models. As well, the advantage compared to other packages is that nano allows different model types to be easily compared. This helps simplify the model selection process and ensure the best model is selected.
Nanoputian628/nano documentation built on Oct. 30, 2023, 3:28 p.m.
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nano
The goal of nano is to streamline the entire modelling process from the data preparation stage to model to running model diagnostics. Functions are user-friendly with minimal arguments to ensure ease of use, while remaining flexible. The main power of nano is that it allows all models to built in a single object to avoid cluttering of the environment and make it easy to track different models. As well, the advantage compared to other packages is that nano allows different model types to be easily compared. This helps simplify the model selection process and ensure the best model is selected.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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