[R] qq plot for 3-parameter lognormal distribution

Hi: Could you please guide me how to do a qq plot for a 3-parameter lognormal curve. Here is an example from VGAM package to fit lognormal curve. I need to do a qq plot to check the fit. Thanks. lambda = 4 y = lambda + rlnorm(n <- 1000, mean=1.5, sd=exp(-0.8)) fit = vglm(y ~ 1, lognormal3, trace

[R] Fitting Distribution to Data

Hello everyone: I tried to fit a Beta distribution on a right-skewed dataset using: fitdistr(temp,densfun="beta",start=list(shape1=3,shape2=2)) To assess the fit, I proceeded as follows: Using distribution parameters from the sample resulting from fitdistr() function, I generated 1000 samples

[R] Bayesian Residual Analysis and GOF for Ordinal Regression Models with Latent Variable Formulation

Hi: I am wondering if someone could please guide me to some package or implementation of Bayesian Residual Analysis and GOF for Ordinal Regression Models with Latent Variable Formulation. I've chekced arm package which uses glm formulation (howeve, I'm looking for Latent Variable/Data Augmentati

Re: [R] MCMC for sampling from ordinal logistic regression

To: [EMAIL PROTECTED] > Date: Thursday, October 23, 2008, 11:36 AM > reezwan you yahoo.com> writes: > > > Is there a R-function that can generate samples from > the posterior > distribution of an ordered logistic regression model (just > like > MCMCoprobit from MCMCpack

[R] MCMC for sampling from ordinal logistic regression

Hi: Is there a R-function that can generate samples from the posterior distribution of an ordered logistic regression model (just like MCMCoprobit from MCMCpack in R). I will greatly appreciate some guidance in this regard. Thanks Reez __ R-help@r-pro

[R] MCMClogit: using weights

Hi everyone: I am just wondering how can I use weights with MCMClogit function (in MCMCpack package). For example, in case of glm function as given below, there is weights option in the arguments. Aparently there is no option of using weights in MCMClogit. glm(formula, family = gaussian, data