search for: simex

Dear R-helpers, It is not clear to me how you get measurement.error SD when you have a single dataset, and it is not clear to me how sensitive SIMEX is to errors in the estimates of measurement error. Could someone please point me to the relevant literature? _____________________________ Professor Michael Kubovy University of Virginia Department of Psychology USPS: P.O.Box 400400 Charlottesville, VA 22904-4400 Parcels: Room 102...

Below is a SIMEX object that was generated with the "simex" function from the "simex" package applied to a logistic regression fit. From this mountain of information I would like to extract all of the values summarized in this line: .. ..$ variance.jackknife: num [1:5, 1:4] 1.684 1.144 0.85 0...

Dear Folks, We need to fit the model y~x assuming there are random errors in both x and y. Numerical Recipes (Press et al.) have two useful functions, fitxy and fitexy, which handle cases of unspecified and specified errors respectively. Are there equivalent functions in base R or a installable package? Alternatively, has anyone written a wrapper to provide an interface to a

One of the assumptions, on which the (General) Linear Modelling is based is that the response variable is measured with some uncertainties (or weighted), but the explanatory variables are fixed. Is it possible to extend the model by assigning the weights to the explanatory variables as well? Is there a package for doing such a model fit? Thanks

Hi, R-helpers, I am working on a problem of measurement error modeling. (I am new to this filed) The model I am dealing with is simple. Consider a linear regression y= beta0 + beta1 * x + error, in which x is measured with errors. (the variance of errors are known. ) I looked up the package simex, and the method is simulation-extrapolation estimation. So I was wondering that if there is any existing package that using maximum likelihood approach to estimate the coefficient. Any suggestions and helps are highly appreciated. Thank you, Carrie-- [[alternative HTML version deleted]]

...t seems without further explanation: In order to demonstrate replicated observations, we make use of another set of data generated at dierent initial conditions. We then need concatenate these ob- servations in time, and create new values for bvals and weights. The function diag.block from the simex package is used below, but there are several packages in R that provide block-diagonal matrices. I have a feeling this diagonal matrix is a component of R analysis that, if corrected here, could produce results, and I would be grateful if anyone who has experience with its use could offer some he...

...e do not edit the information below-- Version: platform = i386-pc-mingw32 arch = i386 os = mingw32 system = i386, mingw32 status = major = 2 minor = 1.0 year = 2005 month = 04 day = 18 language = R Windows XP Professional (build 2600) Service Pack 2.0 Search Path: .GlobalEnv, package:simex, package:methods, package:stats, package:graphics, package:grDevices, package:utils, package:datasets, Autoloads, package:base ************************************************** Wolfgang Lederer Institut f?r Statistik Ludwig-Maximilians-Universit?t M?nchen Ludwigstra?e 33 D-80539 M?nchen Tel: +...

...quot;,"sem","SemiPar","SensoMineR","SenSrivastava","seqinr","SeqKnn","seqmon","session","setRNG","sfsmisc","sgeostat","s hapefiles","shapes","SharedHT2","simex") TEMP <- c(TEMP,"simpleboot","SIN","skewt","sm","sma","smatr","smoothSurv","sn","sna","som","SoPhy","sound","sp","SparseLogReg","SparseM",&...

...rates prior biological knowledge extracted from the database KEGG. The shrinkage intensity is obtained via an analytical procedure. * sifds (0.9) Michael Lundholm http://crantastic.org/packages/sifds A data set with Swedish inflation forecasts and inflation outcome 1999:Q2-2005:Q2. * simexaft (1.0.2) Juan Xiong http://crantastic.org/packages/simexaft Implement of the Simulation-Extrapolation (SIMEX) algorithm for the accelerated failure time (AFT) with covariates subject to measurement error. * smd.and.more (1.3-0) David W. Gerbing http://crantastic.org/packages/smd-a...

...:48:58 AM > To: kpal <kpalamartchouk@gmail.com> > Cc: r-help@r-project.org > Subject: Re: [R] Linear Models: Explanatory variables with > uncertainties > > > Probably you are looking for EIV (errors-in-variables) or ME > (measurement errors) models. > > "simex" is a possible package which needs to know the error variance.. > Also RSiteSearch() may be helpful.. > > hope this helps, > vito > > > kpal ha scritto: >> One of the assumptions, on which the (General) Linear Modelling is >> based is that the response variable...