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The R package rcssci offers an intuitive solution for visualizing Restricted Cubic Splines (RCS) in regression analyses. It automates the generation of spline plots for outcomes like odds ratios (OR), ...
Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...
Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...
Sarafian, H. (213) Linear, Cubic and Quintic Coordinate-Dependent Forces and Kinematic Characteristics of a Spring-Mass System. World Journal of Mechanics, 3, 265-269.
Suppose I have a vector-valued function f(x) = y, where x and y are both vectors of some length (same or different length). f could be evaluated over a regular grid of x values, producing a set of y ...
Interpolation can be used to predict values of growth between data of known points. These methods, including nearest, linear, cubic, spline, and makima, have different applications under various ...
Spline interpolation avoids oscillations by using composite polynomials (splines) instead of one, single high-order polynomial defined over the total interval of interest. Common spline types include ...
Putting a linear form onto your cubic shape will literally become the square peg in the round hole of growth and change.