similar to: Over-constrained? gamma mixtures using R: mix{mixdist}

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 shape of the distributions. Is there a way,

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 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, ? ? ? ? ? ? ? ? ? ?15097,13712,9969,6785,4742,3626,3794,4737,5494,5656,4806,3474,2165,1290,799,431,213,137,66,57,41,35,27,27,27) ?

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") >

Hi, I am working on a population of an invasive clam. The data are the size of each clam per station (2mm on average). Each station is found at a different distance from a power nuclear station, so at different water temperatures. The fist step I want to do is to identify cohort size at each station or (zone of water temperature). The second step will be to see whether the size or number of

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, package = package, lib.loc = lib.loc, envir = dataEnv) :