Re: [R] Sensitivity Analysis for Moderated Mediation?

This post actually has nothing to do with R programming per se, and hence is off topic here. Please post elsewhere, e.g. on stats.stackexchange.com or other list that discusses "mediation models". Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and

[R] Sensitivity Analysis for Moderated Mediation?

Dear group, medsens() is a fantastic method for testing sensitivity of mediation models estimated by the mediate(). (mediation package by Tingley et al; Version 4.4.5). However, I'm wondering whether medsens() is also appropriate for moderated mediation? And if not, is there an alternative proc

Re: [R] Sensitivity analysis - minimum effect size detectable by a binomial test

On Feb 5, 2014, at 10:05 AM, Simone wrote: > Hi all, > > I have performed a binomial test to verify if the number of males in a study > is significantly different from a null hypothesis (say, H0:p of being a male= > 0.5). > For instancee: > binom.test(10, 30, p=0.5, alternative="two.sided", co

[R] Sensitivity analysis - minimum effect size detectable by a binomial test

Hi all, I have performed a binomial test to verify if the number of males in a study is significantly different from a null hypothesis (say, H0:p of being a male= 0.5). For instancee: binom.test(10, 30, p=0.5, alternative="two.sided", conf.level=0.95) Exact binomial test data: 10 and 30 nu

Re: [R] Sensitivity Analysis

Hi all, Do nnet, neuralnet or RSNNS implemented any kind of sensitivity analysis? Best Wishes, Em 22 de abril de 2013 11:46, Gilson Carvalho escreveu: > Hi all, > > Do nnet, neuralnet or RSNNS implemented any kind of sensitivity analysis? > > Best Wishes, > > -- > Prof. Gilson Correia de Carva

[R] Sensitivity Analysis

Hi all, Do nnet, neuralnet or RSNNS implemented any kind of sensitivity analysis? Best Wishes, -- Prof. Gilson Correia de Carvalho, M.Sc. Pesquisador Associado Laboratório de Ecologia Bentônica - LEB Instituto de Biologia - UFBA Universidade

[R] Sensitivity analysis in case of correlated inputs

Dear All, There are two packages which can be used for sensitivtiy analysis when the predictor variables are correlated. a: pcc (partial correlation coefficient) in R sensitivity package b: varimp in R party package (conditional importance) Are other R packages available for sensitivity anlaysi

Re: [R] Sensitivity analysis - looking a tool for epidemiologic research

: MacQueen, Don [mailto:macque...@llnl.gov] Envoyé : 30 janvier 2012 18:19 À : Dominic Comtois; r-help@r-project.org Objet : Re: [R] Sensitivity analysis - looking a tool for epidemiologic research R has several packages for epidemiology. Maybe one of them has it. Take a look. To name just two: "Epi&q

Re: [R] Sensitivity analysis - looking a tool for epidemiologic research

R has several packages for epidemiology. Maybe one of them has it. Take a look. To name just two: "Epi" and "epitools" -Don -- Don MacQueen Lawrence Livermore National Laboratory 7000 East Ave., L-627 Livermore, CA 94550 925-423-1062 On 1/27/12 9:01 PM, "Dominic Comtois" wrote: >Stata

[R] Sensitivity analysis - looking a tool for epidemiologic research

Stata users can rely on the very neat Episens package for sensitivity analysis. Briefly, it allows one to specify a diagnostic tool's sensitivity and specificity and take those into account when estimating a risk ratio, for instance. A full description of the package is available at

[R] Sensitivity Analysis: Morris method - argument "scale"

Dear R-users, I have a question on the logical argument "scale" in the morris-function from the sensitivity package. Should it be set to TRUE or FALSE? Thanks, Chris [[alternative HTML version deleted]] __ R-help@r-project.org mailing list

[R] sensitivity analysis with external simulation model - decoupling in package "sensitivity" or alternative?

-BEGIN PGP SIGNED MESSAGE- Hash: SHA1 Hi I hava a simulation model, of which I want to do a sensitivity analysis. I have identified a number of input variables and my response variable. What I hava done so far: 1) I created a Latin Hypercube with the lhs package (10.000 simulations) 2) s

Re: [R] sensitivity analysis, input factors

evaluations. Thus, there is no vector of responses (and data frame of factors) before the sensitivity analysis itself. Bests, Mark - Eredeti levél (Original Message) - Feladó: milton ruser Dátum: Kedd, Április 13, 2010 5:16 du Tárgy: Re: [R] sensitivity analysis, input factors Címzett: Szalai

Re: [R] sensitivity analysis, input factors

Hi Szalai I had used only "src" function, and on that case you need to have a vector with your Y variable, and a data-frame with all your X (i.e. explanatory) variables. I have interest on stay in touch with others that have been using sensitivity package! bests milton On Tue, Apr 13, 2010 at

[R] sensitivity analysis, input factors

Hi, I'm trying to conduct sensitivity analysis in R using the 'sensitivity' package. Although the description of functions seem straightforward, I can’t succeed. The definition of input factors can be the problem. library(sensitivity) #A simple model with 4 input factor to test the morris fun

Re: [R] sensitivity analysis

Eleni Christodoulou gmail.com> writes: > I am performing a sensitivity analysis using the package ROCR. I am using > the class "prediction" in this aim. My question is, could anyone tell me > what the vector "cutoffs" represent in the result? > As the docs say: cutoffs: A list in which each

[R] sensitivity analysis

Hello list, I am performing a sensitivity analysis using the package ROCR. I am using the class "prediction" in this aim. My question is, could anyone tell me what the vector "cutoffs" represent in the result? Thank you all, Eleni [[alternative HTML version deleted]] ___