search for: nlstool

...rtz(x, a, b, c) Parameters: Estimate Std. Error t value Pr(>|t|) a 21.2426 0.9689 21.924 4.03e-09 *** b 5.3330 1.4722 3.622 0.00555 ** c 0.8045 0.0274 29.364 3.01e-10 *** Then, trying to get confidence intervals for the parameters using the nlsBoot function in the nlstools package I got this error: > modelboot<-nlsBoot(model) Error en data2[, var1] <- fitted1 + sample(scale(resid1, scale = FALSE), : objeto de tipo 'environment' no es subconjunto I?ve tried with another response variable and other self starting function (SSlogis) and got the s...

Dear R users and R friends, I have a little problem... I don't know anymore which package to use if I want to perform a power regression analysis. To be clear, I want to fit a regression model like this: fit <- ....(y ~ a * x ^ b + c) where a, b and c are coefficients of the model. The R Site does not have the answer I want... Thanks in advance and with kind regards, David

Hello list, I'm trying to plot nls profiles, but the plot.profile.nls function in R doesn't seem to accept any plot.default variables. Specifically, I'd like to be able to change the x-axis title and the colors to black and white. Has anyone had any luck with this? If not, is there a way to override to plotting colors, perhaps in par()? Thanks, Sam fm1 <- nls(demand ~

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Hi there, it might be a very simple question and I'd be glad to even get a link to some useful documentation... I have several data sets, I'd like to fit to a gaussian distribution. I've tried to give an estimate of the mean and the sd of this distribution but still, I run into problems if these estimates are not close enough. For example, nls() breaks with this message: singular

I apologize if this comes across as confusing. I will try to explain my situation as best I can. I have R bootstrapping my growth data for fish. It's resampling my database of age and length data and then produces several new datasets for me. In this case, it's resampling my data to create three new datasets of age and length data. Here is my code with my original data called

...s locfit Local Regression, Likelihood and Density Estimation. mvtnorm Multivariate Normal and t Distributions NISTnls Nonlinear least squares examples from NIST nlme Linear and Nonlinear Mixed Effects Models nlstools Tools for nonlinear regression diagnostics nlt A nondecimated lifting transform for signal denoising nlts (non)linear time series analysis nnls The Lawson-Hanson algorithm for non-negative...

...Code: BLG=read.csv("BLGa.csv", header=T) attach(BLG) names(BLG) dput(BLG,"") $ Von Bertalanffy Growth Model$ source("http://www.rforge.net/NCStats/InstallNCStats.R") source("http://www.rforge.net/FSA/InstallFSA.R") library(FSA) library(NCStats) library(nlstools) # provide starting values svCom <- list(Linf=199.8132, K=0.5631745, t0=-1.960147) svCom <- vbStarts(Length~Age,data=BLG) # repeat the starting values for each Cohort svGen <- lapply(svCom, rep, length(unique(Cohort))) # define a new variable, uniquely numbered for each Cohort Cohortf...

The cautions people have given about starting values are worth heeding. That nlxb() does well in many cases is useful, but not foolproof. And John Fox has shown that the problem can be tackled very simply too. Best, JN On 2023-08-19 18:42, Paul Bernal wrote: > Thank you so much Dr. Nash, I truly appreciate your kind and valuable contribution. > > Cheers, > Paul > > El El

...ngitudinalData (0.6.3), MAc (1.0.5), MAc (1.0.6), MAd (0.2), mboost (2.0-3), mc2d (0.1-7), mclust (3.4.3), MCMCglmm (2.03), mhsmm (0.3.2), mixAK (0.8), MKmisc (0.6.1), monomvn (1.8-1), MplusAutomation (0.2-2), MplusAutomation (0.2-3), multcomp (1.1-6), mvpart (1.3-1), ncvreg (2.0), neuralnet (1.3), nlstools (0.0-10), noia (0.94), nor1mix (1.1-2), party (0.9-9993), pcaPP (1.8), penalized (0.9-30), pgirmess (1.4.4), phyclust (0.1-5), picante (1.0-1), plotrix (2.8-3), plsdof (0.2-0), pmg (0.9-42), portfolio (0.4-5), portfolioSim (0.2-6), prefmod (0.8-19), PropCIs (0.1-5), PwrGSD (1.16), pyramid (1.2), q...