README.md

In eliocamp/spfit: Single Paramter Fit

spfit

spfit (Single Parameter Fit) is an R implementation of Laurent Boué’s Real numbers, data science and chaos: How to fit any dataset with a single parameter. It can take any data and fit a continuous and differenciable model with just one parameter with arbitrary accuracy:

Installation

You can install the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("eliocamp/spfit")

Example

Fit the rise of CO2 perfectly with one parameter

library(spfit)
data("co2") 
co2 <- c(co2)

co2_fit <- sp_fit(co2)

co2_pred <- predict(co2_fit)

plot(co2, type = "l")
points(predict(co2_fit), col = "red")

What’s our alpha parameter?

as.character(co2_fit, digits = 30)
#> [1] "0.0416842755182496396583250113637... (1661 more digits)"

eliocamp/spfit documentation built on Nov. 4, 2019, 11:52 a.m.