similar to: package update: mediation

Hi everyone, I use the boot package within the MBESS package to automate much of the hard part for folks interested in performing a (simple) mediation model. The function mediation() works well, except for a (probably) unrealistic artificial data set. When I apply the bootstrap I sometimes get: Error in t.star[r, ] <- res[[r]] which is (I think) due to Inf and -Inf and NaN values produced for

Hello all, I apologize for the simplistic question, but I have been having some trouble learning how to do mediation analysis in R. Ideally, I would like to use Preacher's Bootstrapping test for mediation (Preacher & Hayes, 2004). I have attempted to use the mediate package to set this up, using code that looks basically like this: model.m <- lm(data$outcome ~ data$mediator +

Hi everyone,I would like to test a mediation model, that has several control variables. More specifically, I would like to test the indirect effect with bootstrapping. However, all the packages I have found so far (e.g. MBESS) only allow testing a simple mediation model (One independent, one mediator, one dependent) so that I cannot include any controls. Can somebody help me? [[alternative HTML

Hello, Have someone performed a bootstrap in a multiple-mediator model? I am trying to compute a bootstrap in a multiple and multilevel mediation. Up top now, I have developed bootstraps in random coeffient models, but I am very lost concerning the mediation. Could someone to provide me some ideas about syntax in R? Thank you very much in advance, Bea

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Dear friends, i've a little problem with a study about mediation. I will call my dependent variable "Y", the independent "X" and "Z" will be my mediator variable... Using a linear regression, i can say that there isn't a direct effect of X on Y because the coefficient of X isn't significative, but i've tried to use anyway the Sobel's test to

FYI, for those of you who aren't on the serusers list. I'd like to hear how others can get this working in small Asterisk settings; I don't really have the time to implement it, but it looks very interesting. JT >To: serusers@iptel.org >From: Adrian Georgescu <ag@ag-projects.com> >Date: Mon, 31 May 2004 23:05:47 +0200 >Subject: [Serusers] CDR mediation for VoIP

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)

Hello! I have problem with mediation analysis. I can do it with function mediate, when I have one mediator. But how I can do it if I have one independent variable and one dependent variable but 4 mediators? I have try function mediations, but it dosen't work. If I use mediate 4 times, each for every mediator, is it same? I want to know what is total mediate effect for 4 mediators. t.Mete

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; Thank you for your reply. David has explained an interesting method. David I have DEM file of the region and I have extracted the xyz data from that. Also I can extract bathymetry data as xyz file. I have calculated the storage (volume) of reservoir at the current elevation. But the method I have used to calculate the volume is different from your method. I have crop DEM by the reservoir

Water engineer here. The standard approach is to 1) get the storage vs. elevation data from the designers of the reservoir or, barring that, 2) get the bathymetry data from USBR or state DWR, or, if available, get the DEM data from USGS if the survey was done before the reservoir was built or 3) get a boat+sonar with GPS? +lots of time and survey the bottom elevation yourself. Put the xyz

John, Your reaction was what my original reaction was until I realized I had to find out what a DEM file was and that contains enough of the kind of depth-dimension data you describe albeit what may be a very irregular cross section to calculate for areas and thence volumes. If I read it correctly, this can be a very real-world problem worthy of a solution, such as in places like California

Hi; In the Vorbis 1.1 release notes from July 7, 2004, Monty says "The 1.1 libvorbisenc allows setting the fixed reservoir size (in bits, defaulting to two seconds worth of requested bitrate) and 'hoarding' behavior (whether the encoder tends to keep the bit reservoir more full or more empty) as well as the other encoding heuristics available through the API of 1.0.1."

Aside from the fact that the original question might well be a class exercise (or homework), the question is unanswerable given the data given by the original poster. One needs to know the dimensions of the reservoir, above and below the current waterline. Are the sides, above and below the waterline smooth? Is the region currently above the waterline that can store water a mirror image of the

Hi folks, We're gearing up to the next full release of the Vorbis codec; I've just tagged a release candidate in SVN in order to encourage wider testing toward final 1.1 release. This release includes the following updates: 1) Adoption of AoTuV and other tuning work by Vorbis developers outside of Xiph into the mainline codebase 2) New bitrate management code 3) bugfixes In more

Hi folks, We're gearing up to the next full release of the Vorbis codec; I've just tagged a release candidate in SVN in order to encourage wider testing toward final 1.1 release. This release includes the following updates: 1) Adoption of AoTuV and other tuning work by Vorbis developers outside of Xiph into the mainline codebase 2) New bitrate management code 3) bugfixes In more

Hello, Any advice or pointers for implementing Sobel's test for mediation in 2-level model setting? For fitting the hierarchical models, I am using "lme4" but could also revert to "nlme" since it is a relatively simple varying intercept model and they yield identical estimates. I apologize for this is an R question with an embedded statistical question. I noticed that a

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