search for: mixdist

Hi all, I'm trying to install the mixdist package with: install.packages("mixdist") But I'm getting the following errors: * installing *source* package ‘mixdist’ ... ** R ** data ** preparing package for lazy loading ** help *** installing help indices ** building package indices ... Warning in utils::data(list = f, packa...

Dear all, I am trying to fit a double gaussian to some data using the mixdist package: --- begin code --- ? library(mixdist) ? time <- seq(673,723) ??counts <- c(3,12,8,12,18,24,39,48,64,88,101,132,198,253,331,419,563,781,1134,1423,1842,2505,374,6099,9343,13009, ? ? ? ? ? ? ? ? ? ?15097,13712,9969,6785,4742,3626,3794,4737,5494,5656,4806,3474,2165,1290,799,431,213,137,6...

Dear List, We are using the mix() function in the mixdist package to fit mixture models to some of our data. The package provides a function to compare the fits of nested models using an ANOVA function. However, we were wondering whether there are methods that can be used to compare models that differ in the number of distributions fitted and/or the sha...

Hi, All, I fitted a 3-component normal mixture model with the mixdist package in R. How can I get the density of a new data after I fit the model? Is there any function to do it? Thanks, Cindy [[alternative HTML version deleted]]

Dear R User, I am an electrical engineering student and have just come across a curve fitting problem. I need to find the constituent Gaussian distribution curves fitting the data attached in Workbook1.txt here. I tried to use Mixdist on R but ran into following problem. Can you suggest me where I am going wrong? > super <-read.table("Workbook1.txt",,sep ="\t") > plot(super) > fitmixdata <-as.mixdata(super) > plot(fitmixdata) > plotfit1<-mix(super,mixparam(c(-75,-67,-38),10),"nor...

Dear R-help, my aim is to fit a constrained 2 component gamma mixture using mix within package mixdist. The constraints being fixing both of the means and both of the sigmas. Thus the only unconstrained parameter I wish to fit is pi the proportions of the mixtures. This is the code I used: PP2Pars<-data.frame(c(0.23,0.77), c(9.174,29.54), c(9.983,12.369)); names(PP2Pars)<-c("pi",...

...phically, but SE are particularly difficult to guesstimate and I do not want to influence my results by choosing the parameters myself. In addition I had to chose the distribution function, but again I would have like the model to tell me which one was best. My question is : Is there any way, with mixdist or other package, not to impose parameters, but rather having the function to suggest you what was best by analyzing your data. I read couple document on the subject but I haven't seen that anywhere. I hope this is clear... Many thanks Anouk Simard Courriel : anouk.simard@mrnf.gouv.qc.ca&l...

Dear R users, Please help me on using "mix" function under package "mixdist". My data distribution shows there are two components for the mixture distribution: left part is an exponential and right part is a normal. So I plan to use "gamma" mixture distribution to estimate the parameters. Here is what I am using for the "mix" function. Test<-m...

Hi, All, I want to fit a normal mixture model. Which package in R is best for this? I was using the package 'mixdist', but I need to group the data into groups before fitting model, and different groupings seem to lead to different results. What other package can I use which is stable? And are there packages that can automatically determine the number of components? Thank you, Cindy [[alternative HTML ver...

Hi! I need to fit a data that shows up as two gaussians partially superimposed to the corresponding gaussian distributions, i.e. data=c(rnorm(100,5,2),rnorm(100,-6,1)) I figured it out how to do it with mle or fitdistr when only one gaussian is necessary, but not with two or more. Is there a function in R to do this? Thank you very much in advance, Luis

Dear all, I am attempting to model some one-dimensional data using a mixture model of non-central Student's t distributions. However, I haven't been able to find any R package that provides this functionality. Could there be a way to "manipulate" the EM algorithms from the mixdist or mixtools package to fit the model, or do you have any other suggestions? If anyone could help me out, I would be extremely grateful. Kind regards, Susanne Balzer **************************** Susanne Balzer PhD Student Institute of Marine Research N-5073 Bergen, Norway Phone: +47 55 23 69...

Hello, I would like to fit a mixture of two Weibull distributions to my data, estimate the model parameters, and compare the fit of the model to that of a single Weibull distribution. I have used the mix() function in the 'mixdist' package to fit the mixed distribution, and have got the parameter estimates, however, I have not been able to get the log-likelihood for the fit of this model in order to compare it to the single distribution. I have also had a look at the 'Mixtools' and 'Flexmix' packages. Wit...

Hello, What I am trying to do is: Generate a density plot of a population of data. This data has a bimodal distribution so I've isolated a couple of possible sub-populations and I want to overlay these two density plots over the first to see whether they are contributing to the bimodal population. I can do this fine with plot(density(...)) and lines(density(...)) . But the resulting plots

...000 quantitative results of antibody concentrations, there may be 2 components(positive and negative), or 3 components (may be strong positive, positive, and negative), or 4-6 components. Could you tell me how to determine the number of components of the mixture model? the "anova.mix" in mixdist of the R software seems not work. my data is a little complicated(TABLE ), there are more than 1000 quantitative results of antibody concentrations stratified by age.The overall density of results at age j, Fj, is a mixture of the component densities, so if there are 5 age groups, then there...

I am trying to use Rcmdr 1.5_4 with R-2.11.1 (order to run to run the new version of misdist-0.5.3 which is built under R-2.11.1). however relimp is required for Rcmdr and the version of relimp_1.0.1 downloaded from CRAN will not work with the latest version of Rcmdr (I get error message telling me to reload it). Is there any way round this problem or will there be a new version relimp that is

...> >> model > >> of non-central Student's t distributions. However, I haven't been > >> able > >> to find any R package that provides this functionality. > >> Could there be a way to "manipulate" the EM algorithms from the > >> mixdist > >> or mixtools package to fit the model, or do you have any other > >> suggestions? > >> > >> If anyone could help me out, I would be extremely grateful. > >> > >> Kind regards, > >> > >> Susanne Balzer > >> > &gt...

...c2d (0.1-8), mclust (3.4.4), mcmc (0.8), mco (1.0.9), mecdf (0.4.1), memisc (0.95-30), meta (1.6-0), MetabolAnalyze (1.1), metafor (1.3-0), mgcv (1.6-2), mhsmm (0.3.5), mi (0.09-11), micEcon (0.6-4), micEconAids (0.6-4), minet (2.4.0), minqa (1.1.8), miscTools (0.6-2), mitools (2.0.1), mixAK (1.0), mixdist (0.5-3), mixlow (1.0.0), mixOmics (2.7-1), mixtools (0.4.4), mlegp (3.1.1), mlmmm (0.3-1.2), mlogit (0.1-7), mokken (2.3), monomvn (1.8-3), mrdrc (1.0-5), msm (0.9.7), mstate (0.2.4), mtsc (0.0.2), muhaz (1.2.5), multcomp (1.1-7), multinomRob (1.8-4), multtest (2.4.0), mutatr (0.1.2), mvabund (0.1-...

...nal data using a mixture >> model >> of non-central Student's t distributions. However, I haven't been >> able >> to find any R package that provides this functionality. >> Could there be a way to "manipulate" the EM algorithms from the >> mixdist >> or mixtools package to fit the model, or do you have any other >> suggestions? >> >> If anyone could help me out, I would be extremely grateful. >> >> Kind regards, >> >> Susanne Balzer >> >> >> >> **************************...