mamut86/diffusion
R package for forecasting with diffusion models
This tool helps you predict how quickly a new product, service, or idea will be adopted by a market over time. You input historical sales or adoption data, and it outputs a forecast curve showing future growth potential. It's designed for market analysts, product managers, and business strategists.
No commits in the last 6 months.
Use this if you need to forecast the adoption rate of innovations and understand their market penetration trajectory.
Not ideal if you're looking for general-purpose time series forecasting beyond diffusion curve models.
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R
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Last pushed
Apr 16, 2024
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