search for: beta1s

Hi all, I am trying to reproduce rails 3.2 behaviour with fields_for and nested attributes. class ControllerAction < ActiveRecord::Base has_many :interactions, dependent: :destroy has_many :roles, through: :interactions scope :controllers, lambda {|name| where("controller_name_id = ?", name)} scope :actions, lambda {|name| where("action_name_id =

Hi, I'm trying to get maximum likelihood estimates of \alpha, \beta_0 and \beta_1, this can be achieved by solving the following three equations: n / \alpha + \sum\limits_{i=1}^{n} ln(\psihat(i)) - \sum\limits_{i=1}^{n} ( ln(x_i + \psihat(i)) ) = 0 \alpha \sum\limits_{i=1}^{n} 1/(psihat(i)) - (\alpha+1) \sum\limits_{i=1}^{n} ( 1 / (x_i + \psihat(i)) ) = 0 \alpha \sum\limits_{i=1}^{n} (

The PDF file on the web, which is an appendix on nonlinear regression associated with the CAR book, is very nice. When I ran through the code presented there, I found something odd. The code does a certain model in 3 ways: Vanilla NLS (using numerical differentation), Analytical derivatives (where the user supplies the derivatives) and analytical derivatives (using automatic differentiation). The

Dear R-users, I apply to your kind attention to know if someone have used the Splus software koq.q (Kent & O'Quigley's measure of dependence for censored data) in R and kindly can help me. I have tried several times to contact the authors Andrej Blejec (andrej.blejec at uni-lj.si) or Janez Stare (janez.stare at mf.uni-lj.si) but unfortunately no one answered me. Following

Hi, I conduct a panel data estimation and obtain estimators for two of the coefficients beta1 and beta2. R tells me the mean and covariance of the distribution of (beta1, beta2). Now I would like to find the distribution of the quotient beta1/beta2, and one way to do it is to simulate via the joint distribution (beta1, beta2), where both beta1 and beta2 follow t distribution. How could we

http://dovecot.org/releases/2.0/beta/dovecot-2.0.beta1.tar.gz http://dovecot.org/releases/2.0/beta/dovecot-2.0.beta1.tar.gz.sig Now that v2.0 is in beta stage I don't expect anything big to change anymore. The configuration and the APIs shouldn't change in non-backwards compatible ways. There are still bugs left to be fixed and some small features to be implemented, but I'd like to

http://dovecot.org/releases/2.0/beta/dovecot-2.0.beta1.tar.gz http://dovecot.org/releases/2.0/beta/dovecot-2.0.beta1.tar.gz.sig Now that v2.0 is in beta stage I don't expect anything big to change anymore. The configuration and the APIs shouldn't change in non-backwards compatible ways. There are still bugs left to be fixed and some small features to be implemented, but I'd like to

The first beta of Asterisk 1.2.0 has been released! It is available from the ftp.digium.com FTP servers, as well as the Digium CVS servers (under the 'v1-2-0-beta1' tag). This version of Asterisk represents a significant improvement in features, stability and compatibility over the 1.0.x releases. Some of the major new (or upgraded) features include: * Asterisk Realtime Architecture

...tor (the one of interest) at a time? Say I want again to test beta1. Is it then valid to many times randomly rearrange the X1 data (and keeping Y and X2 as observed), fit the model, take the beta1 coefficient, and finally compare the beta1 of the observed data against the distributions of these beta1s ? For X2, do the same, randomly rearrange X2 all the time while keeping Y and X1 as observed etc. Is this valid ? Second, if this is valid for the 'normal', fixed-effects only regression, is it also valid to derive null distributions for the regression coefficients of the fixed effects...

Dear All, May I seek your suggestion on a simple issue. I want to draw vertical lines at some positions in the following R plot. To be more specific, I wish to draw vertical lines at d=c(5.0,5.5,6) and they should go till p=c(0.12,0.60,0.20) . I haven't found any way out, though made several attempts. Please run the following commands first if you are interested in!

Hello, The likelihood includes two parameters to be estimated: lambda (=beta0+beta1*x) and alpha. The algorithm for the estimation is as following: 1) with alpha=0, estimate lambda (estimate beta0 and beta1 via GLM) 2) with lambda, estimate alpha via ML estimation 3) with updataed alpha, replicate 1) and 2) until alpha is converged to a value I coded 1) and 2) (it works), but faced some

http://dovecot.org/releases/1.1/beta/dovecot-1.1.beta1.tar.gz http://dovecot.org/releases/1.1/beta/dovecot-1.1.beta1.tar.gz.sig Alpha6 seemed to finally work quite well, so I think it's time for a feature freeze (except for dbox changes). I started a new wiki page to list incompatibilities between v1.0 and v1.1: http://wiki.dovecot.org/Upgrading/1.1 Fixes since alpha6: - deliver + maildir

http://dovecot.org/releases/1.1/beta/dovecot-1.1.beta1.tar.gz http://dovecot.org/releases/1.1/beta/dovecot-1.1.beta1.tar.gz.sig Alpha6 seemed to finally work quite well, so I think it's time for a feature freeze (except for dbox changes). I started a new wiki page to list incompatibilities between v1.0 and v1.1: http://wiki.dovecot.org/Upgrading/1.1 Fixes since alpha6: - deliver + maildir

Hi List, I was not able to make this work. I know it is a simple one, sorry to bother. Give me some hints pls. Thanks! Jen if(length(real.d)>=30 && length(real.b)>=30 && beta1*beta2*theta1*theta2>0 ) { r <- 1; corr <- 1; } real.d and real.b are two vectors, beta1,beta2,theta1,and theta2 are constants. The error occurred like this: Error in if

Hi, I hope somebody can help me on how to use the hypergeometric function. I did read through the R documentation on hypergeometric but not really sure what it means. I would like to evaluate the hypergeometric function as follows: F((2*alpha+1)/2, (2*alpha+2)/2 , alpha+1/2, betasq/etasq). I'm not sure which function should be used- either phyper or qhyper or dhyper Where

Hi all-- We are planning an intervention study for adolescent alcohol use, and I am planning to use simulations based on a hurdle model (using the hurdle() function in package pscl) for sample size estimation. The simulation code and power code are below -- note that at the moment the "power" code is just returning the coefficients, as something isn't working quite right. The

Dear All I'm attempting to speed up my model building procedure, but need some help with the loops I've created...please bear with me through the explanation! My basic model call is something like: m0sulf.nlme<-nlme(conc~beta0*exp(-beta1*day)+beta2*exp(-beta3*day), data=m0sulf, fixed=(beta0+beta1+beta2+beta3~1),

hi all, I need to generate a function inside a loop: tmp is an array for (i in 1:10) { func<- func * function(beta1) dweibull(tmp[i],beta1,eta) } because then i need to integrate this function on beta. I could have written this : func<-function(beta1) prod(dweibull(tmp,beta1,eta)) (with eta and beta1 set) but it is unplottable and no integrable... i could make it a bit different but

Dear all, I have the following data set. V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 alpha beta 1 11 1 11 1 11 1 11 1 11 alpha beta1 2 12 2 12 2 12 2 12 2 12 alpha beta1 3 13 3 13 3 13 3 13 3 13 alpha beta1 4 14 4 14 4 14 4 14 4 14 alpha beta1 5 15 5 15 5 15 5 15 5

Hmm, this is peculiar! This mailbox has been unchanged on my test server since September. I've been using it to test each new version of Dovecot just after I've compiled it. When beta1 was released, I opened this mbox with no problems. However, when I upgraded to beta2, I got "file size unexpectedly shrinked in mbox file /export/mail/a/24/vis99003/INBOX (16895967 vs 16899267)".