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I am performing a redundancy analysis using rms::redun() in R. My model includes an interaction between a binary treatment variable and a restricted cubic spline of a continuous variable: treatment * ...
Kavalali's user avatar
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0 answers
111 views

I am trying to create a restricted cubic splines plot with the R RMS package and imputed data from the R MICE package. I could not find information on how to combine the different imputations from ...
Fabian Weiss's user avatar
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1 answer
61 views

I'm studying the gml:CubicSpline smoothing algorithm used in the IWXXM WAFS SIGWX Forecast, based on the WAFS-Example.xml sample. For example, consider the following GML curve: enter code here <...
Carl Wang's user avatar
2 votes
1 answer
107 views

I need to efficiently evaluate a bivariate spline on a B-spline basis. I have already calculated the knot positions and spline coefficients (independently of scipy classes/methods such as ...
Daniel Reese's user avatar
3 votes
1 answer
85 views

In the R "survey" package the svyglm() function can be used with svypredmeans() and svycontrast() in order to compare predictive marginal means for a generalised linear model. This works ...
Mark O'Donovan's user avatar
0 votes
2 answers
146 views

I have a dataframe with a lot of missing values, and my data follows a pattern., Here's a week of my data with missing values: I did spline interpolation to fit my data. My problem is that all of my ...
myste gune's user avatar
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0 answers
91 views

I have this script that I have written in react-three-fibre, as my overall website is in Three.js: import useSpline from '@splinetool/r3f-spline'; import { OrthographicCamera } from '@react-three/drei'...
User239847234984's user avatar
3 votes
1 answer
134 views

I'm using the mgcv package in R to build generalized additive models (GAMs), and I often use cubic regression splines (cr) instead of the default thin plate regression splines (tp) (mainly because cr ...
Tripartio's user avatar
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2 votes
1 answer
191 views

Suppose I have data x = (x_1,...,x_n). I would like to create a basis matrix in R whose (i,j)th entry is B_j(x_i) - B_j(0), where B_j(.) is the jth cubic B-spline basis function. Is this possible to ...
User505's user avatar
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A consult, I have a file .dxf with one spline, the spline data indicate the Degree of the curve, number of knots, number of control points, value of control points, etc. My doubt is how can I use such ...
user20602609's user avatar
1 vote
0 answers
48 views

Data: data = pd.Series({ '2005-01': 14.80, '2005-02': np.nan, '2005-03': np.nan, '2005-04': 14.83, '2005-05': np.nan, '2005-06': np.nan, '2005-07': 15.14, '2005-08': np....
Kartikey Singh's user avatar
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1 answer
395 views

I'm new to react-spline and I'm trying to achieve two things with my 3D scene: Remove the transparent/white background that comes by default Disable the ability to zoom/move the scene with mouse/...
marianlukavyi's user avatar
3 votes
1 answer
242 views

In scipy, the function scipy.interpolate.make_interp_spline() can be batched since its x argument must be one-dimensional with shape (m,) and its y argument can have shape (m, ...). However, the ...
Ben's user avatar
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1 answer
148 views

I recently implemented my implementation of the cubic spline algorithm described on wikipedia. Here is my current implementation which should calculate the coefficients: def ...
Some nerd who does not have a 's user avatar
-1 votes
1 answer
55 views

I'm hitting my head against the wall here--> Task: for my little project (isometric with tilted camera), i would like to let the player create a custom area of effect for his ability, meaning, ...
Simone De Bellis's user avatar

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