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S-shaped data: Smoothing with quasibinomial distribution

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Figure 1: Synthetic data and fitted curves. S-shaped distributed data can be found in many applications. Such data can be approximated with logistic distribution function [1].  Cumulative distribution function of logistic distribution function is a logistic function, i.e., logit. To demonstrate this, in this short example, after generating a synthetic data, we will fit quasibinomial regression model to different observations.…
Original post: S-shaped data: Smoothing with quasibinomial distribution
Source: R-bloggers