similar to: replication delays

I have recently updated with 2.2.29.1-avh1~xenial1 ubuntu package on 16.04. It appears that I have a couple of duplicate GUIDs which fsck can't clear so the machine is looping through doing continuous fsck runs. Any way to determine what the offending messages are and how to delete or otherwise stop this? Jul 1 17:09:24 post dovecot: doveadm(djk at tobit.co.uk): Warning: fscking index

Some supplemental information: This is happening on every email delivered into Dovecot via LMTP. The curious things are that the message is a) successfully delivered and b) sieved into the correct directory. Another observation is that: mail_deliver_ctx_get_log_var_expand_table is defined globally in core/src/lib-lda/mail-deliver.c (and used there) but the ONLY external call in the entire

Suddenly I am getting undefined symbol errors having updated to 2.3.7. Jul 18 01:02:49 localhost dovecot: indexer-worker: Error: User <someone> lookup failed: Couldn't load required plugin /usr/lib/dovecot/modules/lib95_imap_sieve_plugin.so: dlopen() failed: /usr/lib/dovecot/modules/lib95_imap_sieve_plugin.so: undefined symbol: command_hook_register (I think I fixed this one by a

I have two installations of dovecot 2.18, apart from the necessary changes to allow them to replicate amongst themselves the configs are identical. Both are running Ubuntu 14.04 and are kept up to date. One is running 64bit and the other 32 bit (for historical reasons). Both have ipv4 and ipv6 addresses. The 64 bit installation allows access on port 143 and 993 on both ipv4 and ipv6. The 32

I have an unbalanced panel of daily, county data that is naturally bounded at zero so my intention is to use a tobit. I'm using tobit from the AER package. There is cyclicality in the data for each pattern that I would like to control for before I add my variables of interest. I run the regression: derp <- tobit(x ~ factor(Month)*factor(County), data = data0, left = 0, right = Inf) If I

I am trying to work out a bootstrapped Tobit regression model. I get the coefficients all right, but they all have standard error zero. And I am unable to figure out why. I know the coefficients are correct because that's what I get when do a Tobit (without bootstrapping). Here's my code: # Bootstrap 95% CI for Tobit regression coefficients? library(boot) library(AER) # for the Affairs

Hello, I am working on a Tobit Model for a consumer good, left censored with zero. Relation: Sales of product depend on price, promotion (dummy), Season(dummy) and store (dummy) Used standard Tobitmodel with package(AER) vor a 48 week period: tobitmodel<-tobit(SALE~Price+Promotion+Season+Store,data= datatobit) Now I want to predict the values for week 49-52. Used predict device:

Dear All: I need some guidance in calculating a goodness-of-fit statistic for a Tobit Regression model. To develop the Tobit regression, I used the tobit() method from the AER package, which is basically a simpler interface to the survreg() method. I've read about pseudo R2 and C-index and was wondering if there is a package that calculates this for me. Also, is there a reason to select

Every 10 minutes, my samba 4.0.9 (active directory domain controller) is logging messages like these :- 2014-01-07T14:26:09.896260+11:00 gumbo samba[5198]: /usr/sbin/samba_dnsupdate: ; Communication with 127.0.1.1#53 failed: operation canceled 2014-01-07T14:26:09.896281+11:00 gumbo samba[5198]: /usr/sbin/samba_dnsupdate: could not talk to any default name server 2014-01-07T14:26:09.917096+11:00

I need to give a quick description of Tobit Regression (TR), including how it differs from ordinary least squares (OLS). I am an ecologist who knows just enough about remote sensing and statistics to be dangerous in both. Now I have found myself doing a remote sensing project where I have used TR: survreg(Surv()). As far as I can tell, no form of Censored Regression has been used in analyzing

Hi, How can I recover the variance-covariance matrix of the tobit model from the variance-covariance of the survreg? I first used to the survreg function and then I selected the variance matrix. However, the last parameter is log(scale) and not the variance of the standard deviation of the censored distribution as in the Tobit model. tobit<- survreg(Surv(y, y > 0, type ='left')~

I am trying to make a loglikelihood function using copulas. I am trying to use mvdc to find the density function. When I run this I got the error that the pdf and cdf of my function tobit doesn't exist. Can somebody guide me where my mistake is? dtobit <- function(beta,sigma, x, y) {ifelse(y>0, dnorm(y,x%*%beta, sigma),(1-pnorm((x%*%beta)/sigma)))} ptobit <- function(beta,sigma, x,

Folks, Based on http://www.biostat.wustl.edu/archives/html/s-news/1999-06/msg00125.html I thought I should experiment with using survreg() to estimate tobit models. I start by simulating a data frame with 100 observations from a tobit model > x1 <- runif(100) > x2 <- runif(100)*3 > ystar <- 2 + 3*x1 - 4*x2 + rnorm(100)*2 > y <- ystar > censored <- ystar <= 0

Hi, I'm trying to fit a tobit regression model to some data. When fitting the exact same data in Stata, I have no problems at all, however R won't converge. Its not a maxiters thing, since I've tried increasing this already. I need to be able to fit the model in R since there are users of the code that don't have a Stata license. The code is: require(AER) left = 3.218476 x =

Dear R experts, I am currently working on a rather simple tobit regression, where the dependet variable is left-censored (>0). I would like to apply a Tobit regression and then use the parameters of this regression to make a prediction with new data. The intention behind this is to do an extrapolation. by using the VGAM or AER package, I already succeeded in getting fitted values. However

I am trying to use shadow copy with Samba 4.0.9 on Debian 7 (wheezy), Linux kernel 3.2. Windows 7 clients on the LAN can not see Previous Verions of files stored on the server, although I believe I have set up directories with snapshots. Here are some highlights from smb.conf :- [global] server role = active directory domain controller domain logons = yes ... [Pluto] path

Dear All, we (Ott Toomet and I) would like to add functions for maximum likelihood (ML) estimations of generalized tobit models of type 2 and type 5 (*see below) in my R package for microeconomic analysis "micEcon". So far we have called these functions "tobit2( )" and "tobit5( )". Are these classifications well known? How are these functions called in other

Appreciate any suggestions regarding how to fit an unbalanced panel data to a Tobit model using R functions. I am trying to analyze how real estate capital expenditures (CapEx) are affected by market conditions using a panel Tobit model. The CapEx is either positive or 0, so it is censored. The data are unbalanced panel, including the CapEx of about 5000 properties over about 40 quarters, with the

I am interested in utilizing this so called "double hurdle" model in my study. We can write the model in the following way: if (z'a + u > 0 & x'b + e > 0) y = x'b + e, else y = 0 In the model, consumption y is the (left-) censored dependent variable. e and u are the normally distributed error terms. z'a is the participation equation and x'b is the

Hello R-Users: I am want to use tobit regression for left censored panel/longitudinal data. Could you please provide me the name of "library" and/or "package" that will give me option of fitting tobit regression model for longitudinal data? Thank you. Sattar __________________________________________________ [[alternative HTML version deleted]]