similar to: New R package on CRAN: productivity (0.1.0)

Dear R users, I am happy to announce that the R package 'sfadv: Advanced Methods for Stochastic Frontier Analysis' is now available on CRAN (https://CRAN.R-project.org/package=sfadv). This package allows stochastic frontier analysis with advanced methods. Particularly it implements newly developped method proposed by Latruffe et al. (2017) <doi:10.1093/ajae/aaw077> considering

Post Office wrote: > Sorry. Your message could not be delivered to: > > Jonathan DEL CAMPO /jdc/ .Y (Mailbox or Conference is full.) Would one of the list admins PLEASE remove this guy from the list? I've been getting NDRs from him for as long as I can remember... -- Best regards, Charles

Currently pigeonhole supports reject which would generate a NDR for each message. (If I understand the current documentation) Using Dovecot LMTP it would be more optimal to kick a 5xx back to the primary MTA to reject the delivery rather than generating more back scatter NDRs. Anyone know if this is possible now (to forgo the NDR)'s or do we need to wait for ereject ? If so, how much work

Dear Members  I am Writing to you because I need help to compute the Malmquist Luenberger  index  with  R with my panel data of 10 central Africa countries from the year 1980 to 2008. I have three inputs and 2 outputs which one is undesirable (CO2) and the other (GDP for agriculture is the desirable one).  Is it possible for you to guide me through the right code which could help me to compute it?

Am 14.01.2015 um 01:28 schrieb Robert Blayzor: > Currently pigeonhole supports reject which would generate a NDR for each message. (If I understand the current documentation) > > Using Dovecot LMTP it would be more optimal to kick a 5xx back to the primary MTA to reject the delivery rather than generating more back scatter NDRs and what would that change? nothing if you think about how

Dear useRs, I am trying to build my package (nonpareff) which deals with some models of data envelopment analysis. The building worked well, but checking complains when it tests examples. Zipped nonparaeff.Rcheck is attached. Following is the log. --------------------------------------------- arecibo:tmp arecibo$ R CMD build nonparaeff/ * checking for file 'nonparaeff/DESCRIPTION' ...

Dear useRs, I am trying to build my package (nonpareff) which deals with some models of data envelopment analysis. The building worked well, but checking complains when it tests examples. Zipped nonparaeff.Rcheck is attached. Following is the log. --------------------------------------------- arecibo:tmp arecibo$ R CMD build nonparaeff/ * checking for file 'nonparaeff/DESCRIPTION' ...

R Users, The d/p/q/r functions for the bridge distribution are now available in bridgedist. When a random intercept follows the bridge distribution, as detailed in Wang and Louis (2003) <doi:10.1093/biomet/90.4.765 <http://dx.doi.org/10.1093/biomet/90.4.765>>, a marginalized random-intercept logistic regression will still be a logistic regression with marginal coefficients that are

We were looking at conducting a pilot program with Dell to virtualize our lab environments. We are specifically looking at Dell/Citrix provisioning servers. The OS in this setup is streamed from the server on every boot. I was curious if the R Project had any licensing stipulations in this type of setup. This is in the beginning phases and we wanted to answer some questions about licensing.

Dear all, I want to program my own models about Stochastic Frontier Analysis and Linear programming (Data Envelopment Analysis). In this context, is there anyone that may help me with some simple tutorials and scripts about these issues? Thanks a lot. -- Marcus Vinicius Pereira de Souza, Prof. [[alternative HTML version deleted]]

Sir, Which modules/package should I use to solve the following statistical models: 1. Multiple Objective Programming (MOP) 2. Data Envelopment Analysis (DEA) 3. Lab Experiments 4. Multiple Criteria Decision Making (MCDM) Regards, PS

Dear R contributors, I suggest adding a new method to `p.adjust` ("Adjust P-values for Multiple Comparisons", https://stat.ethz.ch/R-manual/R-devel/library/stats/html/p.adjust.html). This new method is published in Benjamini, Krieger, Yekutieli 2016 Adaptive linear step-up procedures that control the false discovery rate (Biometrika). https://doi.org/10.1093/biomet/93.3.491 This paper

Full_Name: Nuno Monteiro Version: 2.3.1 OS: Windows XP HE Submission from: (NULL) (84.9.38.207) I'm using the FEAR library to perform Data Envelopment analysis with a 36,000 obs dataset. The function dea is working fine but then when I try to use the boot.sw98 to come up with some sensitivity analysis I get the following error:

Every time I send a message to this list, I get a bounced email reply from some Russian exchange server for email address xlino@bvpress.ru. Is there an admin or a moderator for this list that can remove that email address from the list? Rob

Dear UseRs, I wrote following function in order to solve Data Envelopment Analysis. Reason for posting is that the function is slow when nrow(dat) is large. I wonder if other functions could substitute the for() loop in the code, such as mapply(). Can anybody help to rewrite the dea() function as efficiently as possible? The code is as follows:

Dear All, I'm trying to do the estimation in a changepoint regression problem via R, but never found any suitable function which might help me to do this. Could someone give me a hand?on this matter? Thank you.

Hello, I recently began using R and the lme4 package to carry out linear mixed effects analyses. I am interested in the effects of variables 'prime','time', and 'mood' on 'reaction_time' while taking into account the random effect 'subjects.' I've read through documentation on lme4 and came up with the following formula for use with lmer:

I have a box that will send to my personal pop/web based email but will not send to my exchange server. I have checked the MX record and DNS settings. I know there is something you can do like this to check it but it returns either a -1 or 0 (have no idea what that means) sendmail /mx anyway I can send to a ISP based Mail account outside the company. We have .wav files allowed we also require

Good morning I am learning about NLME and LME4, using Pinheiro and Bates and other materials from Douglas Bates, but I have not seen anything on how to do variable selection sensibly in this type of model. In OLS regression, I frequently use the lasso, but googling did not reveal a method for lasso with mixed models. Most of the material I've seen on these packages is about models with very

Again, this is off topic, not about statistics or R, but I think of interest to many on this list. The title is: "So you got a null result. Will anyone publish it?" https://www.nature.com/articles/d41586-024-02383-9 Best to all, Bert