In statistics, nonlinear regression is a form of regression analysis in which observations are modeled by a function which is a nonlinear combination of the model parameters and depends on one or more independent variables.
Questions tagged [non-linear-regression]
732 questions
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Nonliner Regression Toolbox in Matlab (nlinfit)
Do anyone know which algorithm and objective function for nonlinear regression MATLAB toolbox? I am looking at MATLAB website but it did not provide the information.
bbadyalina
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Non-Linear Modeling with nls in R
I want to use non-linear regression lines to show the Height over Diameter relation of trees. I'm using the following formula:
h = A + B ∙ d + C ∙ d²
For this I used the nls package in R. I inserted the Formula in the follwing…
Lukas
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nls: how to set unreachable bounds on parameters
I am trying to estimate a complex model with nlsLM() in R package minpack.lm. It goes like this:
nlc <- nls.lm.control(maxiter = 10000, maxfev = 10000)
nlsLM(formula = log(demand+0.001) ~ Diff.model.log(m,pin,q,lambda1,lambda2,goal,length,time),
…
shenglih
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Matlab: non-linear-regression, 2 criteria
I am trying to fit a non-linear model using 3 independent variables (light, temperature and vapor pressure deficit (VPD)) to predict net ecosystem CO2 exchange (NEE).
I know how to use the nlinfit function, but my problem is that I want to use 2…
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Matlab - Adding assumptions to non linear model fitting
I'm using the fitnlm function within Matlab to calculate three coefficients. To improve the results, I know that two of the coefficients need to be positive and the third to be from 0 - 360 degrees. How can I add these assumptions into the model?…
Whitt
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R - How to fit a model to a nonlinear regression with darch() and predict()?
I am trying to fit a model to a non linear regression by using darch().
Here is the code I already have done :
library(darch)
x = seq(-10, 10, 0.2)
e = function(x) {
return(rnorm(n = length(x), 0, sqrt(0.1)))
}
y = function(x) {
…
Yoann Pageaud
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Predict function in R
I am trying to use to predict function to predict 100 points new points. I have a data.frame with one vector that is 100 doubls long.
I am trying the predict function: predict(model, newdata=mydat)
The function only returns a vector of length…
Nicholas Hayden
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Fit with the parameter
I am quite new to Matlab and I am trying to use this code I found online.
I am trying to fit a graph described by the HydrodynamicSpectrum. But instead of having it fit after inputting fvA and fmA, I am trying to obtain the fitted parameters for…
palansuya
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Sigmoidal Modeling in R
I am currently trying to model and plot a sigmoidal curve with a low amount of points.
>myExperiment
V1 N mean
0.1 9 0.9
1 9 0.8
10 9 0.1
5 9 0.2
I am using the nlsLM function from the minpack.lm package.
> nlsLM(mean2 ~ -a/(1 +…
Nicholas Hayden
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Can I do regression with deep learning?
I am new to ML, and I have a dataset:
Where:
X = {X_1, X_2, X_3, X_4, X_5, X_6, X_7};
Y = Y;
I'm trying to find the possible relationship between X and Y like Y = M(X) using Deep Learning. To my knowledge, this is a regression task since the data…
xtluo
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Multiple non linear regression in R program
I am trying to use a logistic model of the form
Y = exp(ao + a1fi1....)/(1 + exp(a0 + a1fi1 ....)
for multiple non linear regression in R, The dependent variable Y is a row consisting of about 500 values and there are 33 independent variables X1,…
MC2016
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Graph evolution of quantile non-linear coefficient: can it be done with grqreg? Other options?
I have the following model:
Y_{it} = alpha_i + B1*weight_{it} + B2*Dummy_Foreign_{i} + B3*(weight*Dummy_Foreign)_ {it} + e_{it}
and I am interested on the effect on Y of weight for foreign cars and to graph the evolution of the relevant coefficient…
k1000x
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How to estimate confidence of nonlinear regression?
I use Levenberg -- Marquardt algorithm to fit my nonlinear function f(x,b) (x:Nx1, b:Mx1) to data X:NxK.
Now I want to estimate goodness (confidence) of solution b.
This post says that I should not try to find R-squared in nonlinear case. What…
Anton3
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Error in using optim to maximise the likelihood in r
So, I have these functions:
funk1 <- function(a,x,l,r) {
x^2*exp(-(l*(1-exp(-r*a))/r))}
funk2 <- function(x,l,r) {
sapply(x, function (s) {
integrate(funk1, lower = 0, upper = s, x=s, l=l, r=r)$value })}
which are used to explain the data y in, …
VitalSigns
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"Equalise" one data set into another data set using neural network
I have two non-linear curves as shown below:
The Blue solid curve is the current sensor data I am getting with respect to time. The red dashed function is the data from the gold standard. Its more of a calibration/regression problem. I want to…
Arjit Kapoor
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