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

Hi there, I am really new to statistics in R and statistics itself as well. My situation: I ran a lot of OLS regressions with different independent variables. (using the lm() function). After having done that, I know there is endogeneity due to omitted variables. (or perhaps due to any other reasons). And here comes the Hausman test. I know this test is used to identify endogeneity. But what I

Hello All, I'm looking to test a variable in a logit model (glm(..., binomial(link="logit"))) for exogeneity (endogeneity). At this point I am planning to try implementing Jeffery Grogger's "A Simple Test for Exogeneity in Probit, Logit, and Poisson Regression Models", Economic Letters, 1990. To do this, I need to be able to do an instrumental variables NLS

Hi, I have two sets of data that I would like to put into a data frame. But since they have different length, I am not sure how to do this. Here is an example of my data: data set one: date growth 1/1/2007 10 1/2/2007 10.2 1/3/2007 10.4 1/4/2007 10.6 data set two: date growth 1/1/2007 22 1/2/2007 22.5 1/4/2007 22.4 I would like to combine the two data sets and

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' ...

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

I have a student that I'm encouraging to use R rather than SAS or Stata and within just 2 weeks he has come up with a question that stumps me. What does a person do about endogeneity in generalized linear models? Suppose Y1 and Y2 are 5 category ordinal dependent variables. I see that MASS has polr for estimation of models like that, as long as they are independent. But what if the

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:

Hi, can anybody tell me how the Hausman test for endogenty works? I have a simulated model with three correlated predictors (X1-X3). I also have an instrument W for X1 Now I want to test for endogeneity of X1 (i.e., when I omit X2 and X3 from the equation). My current approach: library(systemfit) fit2sls <- systemfit(Y~X1,data=data,method="2SLS",inst=~W) fitOLS <-

Hello, I have a set of 100 variables with 1560 observations. I did an O.L.S regression of three of these variables on a fourth. But there are problems of endogeneity... So I look in my dataset for instruments to do an IV. I can't find a good instrument because their correlation with my endogeneous variables are too low. But I see that when I create a combined variable composed of 12 variables

Hi,I have a fundamental questions that I'm a bit confused. If any guru from this circle could help me out, I would really appreciate.I have a system of equations in which some of the endogs appear on right hand sides of some equations. To solve this, one needs a technique like 2SLS or FIML to circumvent inconsistency of the estimated coefficients. My question is that if I apply the nonlinear

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: