similar to: (no subject)

Hello my name is Ilija Poznic and I have a problem. My configuration is 1. Digium TDM4000P with one FXS. 2. AVM Fritz ISDN adapter (configured with capi). When I connect to my ISP and then start *. Asterisks is registering me to SIP provider iconnect. After that I can call international call trough VoIP. My problem is that I want to dialout to ISP only when I have a international call.

Hi, I am using the sim1000G R package to simulate data for case/control study. I can not figure out how to manipulate this code to be able to generate 10% or 50% causal SNPs in R. This is whole code provided as example on GitHub: library(sim1000G) vcf_file = "region-chr4-357-ANK2.vcf.gz" #nvariants = 442, ss=1000 vcf = readVCF( vcf_file, maxNumberOfVariants = 442 ,min_maf =

Hi Berina, I'm not an expert on genetics. I haven't looked at the package. And I've only glanced at your question. So, this is probably not the best response. But as no one else has responded, here's some comments: (1) Have you checked if there's a function in the package to do what you want? The remainder of these questions assume that you have, and the answer is no. (2)

Check out the proposed prices when this is approved. BELL CANADA REPORT ON THE ECONOMIC EVALUATION FOR THE TARIFF REVISION OF Bell Canada's Access Services Tariff Item 315 ? Zero-Dialed Emergency Call Routing Service (0-ECRS) *2 March 2006 TABLE OF CONTENTS Page 1.0 GENERAL 3 1.1 Purpose of the Study 3 2.0 SERVICE DESCRIPTION 3 2.1 Service Characteristics 3 2.2

Dear all, I am using the Instrumental Variable approach to estimate the causal effects of TWO endogenous variables in a Mendelian Randomization study. As long as point estimation is concerned, I have no problem: both "ivreg" in library "AER" and "tsls" in library "sem" do the job perfectly. The problems begin when I try to obtain confidence intervals for

SELECTION FOR CONSULTANTS BY THE WORLD BANK REQUEST FOR EXPRESSIONS OF INTEREST All Submissions must be made via the World Bank Group's "eConsult2" system. Please go to: https://wbgeconsult2.worldbank.org/wbgec/index.html Click on "Business Opportunities", and find the following assignment: Assignment Title: 1067014 - Statistical Analyst with Extensive Experience in

I have a semantics question, I am reading Bowerman and O'Connell and they state that forecasting models fall into two categories, univariate and causal. My question is whether a time series regression model that relates the time series of interest to functions of time such as the day of the week or month of the year could be considered a causal model? thanks, spencer [[alternative HTML

There may be benefits to having a machine learning method that explicitly targets covariate balance. We have experimented with optimizing the weights directly to obtain the best covariate balance, but got some strange solutions for simple cases that made us wary of such methods. Machine learning methods that yield calibrated probability estimates should do well (e.g. those that optimize the

> > After running a MANOVA test, I used univariate Fs in order to see > which IV(s) was contributing the difference. > However, I have been critised about it, > and the reason I was given is: > > "MANOVA allows you to explore multiple associations but > does not excuse you from tracing out the causal relationships > for each variable. This does

In response to Duncan regarding the use of roxygen2 from the point of view of a current user, I believe the issue he brings up is one of correlation rather than causation. Writing my first piece of R documentation was made much easier by using roxygen2, and it shallowed the learning curve substantially. What Duncan may be observing is a general tendency of roxygen2 users to write overly concise

I have just uploaded an updated version of my boolean package (v1.05), which should be propagating through CRAN's mirrors soon. Boolean permits estimation of Boolean logit and probit models (see Braumoeller (2003), full reference in help file, for derivation). Boolean logit and probit are a family of partial-observability n-variate models designed to permit researchers to model causal

I have just uploaded an updated version of my boolean package (v1.05), which should be propagating through CRAN's mirrors soon. Boolean permits estimation of Boolean logit and probit models (see Braumoeller (2003), full reference in help file, for derivation). Boolean logit and probit are a family of partial-observability n-variate models designed to permit researchers to model causal

We would like to announce the release of our software MatchIt, now available on CRAN. MatchIt implements a variety of matching methods for causal inference. Abstract: MatchIt implements the suggestions of Ho, Imai, King, and Stuart (2004) for improving parametric statistical models by preprocessing data with nonparametric matching methods. MatchIt implements a wide range of sophisticated

We would like to announce the release of our software MatchIt, now available on CRAN. MatchIt implements a variety of matching methods for causal inference. Abstract: MatchIt implements the suggestions of Ho, Imai, King, and Stuart (2004) for improving parametric statistical models by preprocessing data with nonparametric matching methods. MatchIt implements a wide range of sophisticated

Package update: mediation Scholars across a range of disciplines are increasingly interested in identifying causal mechanisms, going beyond the estimation of causal effects. The mediation package (4.0) estimates mediation effects for a variety of experimental designs and statistical models. The update covers new models, designs, and includes many new functionalities. Dustin Tingley Government

Dear all, we seek a talented and motivated post-doc to develop computational methods for inferring the molecular basis of genetic diseases by integration of personal omics data. Research topics include: identifying causal mutations of rare disease patients by meta-analysis; inferring disease-causing molecular pathways from genotype, phenotypes, and omics profile of patient-derived cell lines

Hi all, Following up on Holger's email last week: Does anyone know if there exists a library that implements the sensitivity tests for hidden bias for matched pairs and unmatched groups as proposed in Rosenbaum's Observational Studies (2002: ch.4)? Thanks. Best, jens

Does anyone know of a package that includes the Modified Sims test [Gewerke, 1983, Sims, 1972]? This test is used in econometrics and is a kind of alternative to the Granger test [Granger, 1969], which is in the package lmtest. Thanks in advance, chris Refernces: Gewerke, J., R. Meese, and W. Dent (1983), "Comparing Alternative Tests of Causality in Temporal Systems: Analytic Results and

Dear All, I would like to find something ( references, code,..) to implement a comparison of three treatments in an observational study using the 'Propensity Score'. Any help is much appreciated. Thanks! Giovanni -- dr. Giovanni Parrinello Department of Biotecnologies Medical Statistics Unit University of Brescia Viale Europa, 11 25123 Brescia email: parrinel at med.unibs.it Phone:

Hi Sergey, Thanks for putting the new version of the document together! I don't see any other issues. I strongly believe the approach described in the document is a nice way to get OpenMP offloading support in clang. I plan to start actively contributing code for this component of the OpenMP implementation soon. Thanks again, Samuel 2015-04-29 11:47 GMT-04:00 Sergey Ostanevich