search for: cvm

I believe there to be a bug in the cvm.test module of the nortest package authored by Juergen Gross. I do not know how to contact the author directly. I've been running some normality tests using the nortest package. For some of my datasets the Cramer-von Mises normality test generates an extremely high probability (e.g., 1...

Respected Sir I am a very new user of R. I want to ask a question about "the nortest package". In this package how we can write the code of ad.test, cvm.test, ks.test for other distributions like GEV, GPA etc. I request you to please guide to me. Kind Regards AMNA -- AMINA SHAHZADI Department of Statistics GC University Lahore, Pakistan. Email: amnakhan493@gmail.com amna_989@hotmail.com amna_989@yahoo.com [[alternative HTML version deleted]]

...ataS$P1_retained, dataS$TotalHours_R) yc <- split(dataS$x, dataS$TotalHours_R) for (i in 1:length(yc)) { fit=cv.glmnet(as.matrix(yc[[i]]), y=xc[[i]], alpha=.05, type="mse", nfolds=10, standardize=TRUE,family="binomial") c_output = c(i,fit$cvlo[fit$lambda==fit$lambda.1se],fit$cvm[fit$lambda==fit$lambda.1se], fit$cvup[fit$lambda==fit$lambda.1se]) names(c_output) = names(output_x) output_x = rbind(output_x, t(c_output)) fit1=cv.glmnet(as.matrix(yc[[i]]), y=xc[[i]], alpha=.05, type="auc", nfolds=10, standardize=TRUE,family="binomial") c_output1 = c(i,fit1$...

Good Night I made different test to check normality and multinormality in my dataset, but I don´t know which test is better. To verify univariate normality I checked: shapiro.test, cvm.test, ad.test, lillie.test, sf.test or jaque.bera.test and To verify multivariate normal distribution I use mardia, mvShapiro.Test, mvsf, mshapiro.test, mvnorm.e. I have a dataset with almost 1000 data and 9 variables, in both cases the result is non-normality. For this reason, I transformed data...

Dear All, I am using roptest function of package "ROptEst" (Kohl and Ruckdeschel (2019)) to find out the ML, CvM-MD, and the RMX estimator and their asymptotic confidence intervals. I am assuming 1-5% of erroneous data for the RMX estimator. Then I am trying to Plot the data in the form of a histogram and add the three Gamma distribution densities with the estimated parameters and validate the three models a...

...o code or data came through. Please read the posting guidelines. On Wed, Jan 11, 2023 at 1:38 PM Upananda Pani <upananda.pani at gmail.com> wrote: > > Dear All, > > I am using roptest function of package "ROptEst" (Kohl and Ruckdeschel > (2019)) to find out the ML, CvM-MD, and the RMX estimator and their > asymptotic confidence intervals. I am assuming 1-5% of erroneous data for > the RMX estimator. > > Then I am trying to Plot the data in the form of a histogram and add the > three Gamma distribution densities with the estimated parameters and &gt...

...ave the same error) I am not good at programming and I could not understand the mistake. I checked also the approxfun and I suspect I damage something there by using z in ecdf1, however I am not sure. I would like to find that function and use it in "mde" instead of ecdf for method"CvM". you can see the part I would like to modify in mde function. .... if (measure == "CvM") { G <- fn Gn <- if (grouped) ogive(x) else ecdf(x) if (is.null(weights)) weights <- 1 Call$x <- knots(Gn)...

...ing every addition very carefully) and modifying ks.test.Rd in parallel (and with commenting).? For convenience, we put this in a package ks.test that is on R-Forge but not submitted to CRAN.? We've written a short paper about this (and also implemented similar Cramer-von Mises tests in package cvm.test). 1. I think the cvm.test function/package is suitable for CRAN (rather, I can't make a compelling argument it should be added to the base distribution).? It doesn't directly extend anything in the base R distribution at the moment (at least, to my knowledge). 2. I think it would be...

I was just thinking how they could be easily supported. This would work, right? : imap stream tcp nowait root /usr/sbin/tcpd /usr/local/libexec/dovecot/imap-login imaps stream tcp nowait root /usr/sbin/tcpd /usr/local/libexec/dovecot/imap-login --ssl imap-login would try to connect to master process using some named socket. If it couldn't, it would create the master process itself. Master

...e posting guidelines. > > > On Wed, Jan 11, 2023 at 1:38 PM Upananda Pani <upananda.pani at gmail.com> > wrote: > > > > Dear All, > > > > I am using roptest function of package "ROptEst" (Kohl and Ruckdeschel > > (2019)) to find out the ML, CvM-MD, and the RMX estimator and their > > asymptotic confidence intervals. I am assuming 1-5% of erroneous data for > > the RMX estimator. > > > > Then I am trying to Plot the data in the form of a histogram and add the > > three Gamma distribution densities with the est...

...uot;mse") best_lambda <- cv_model$lambda.min best_lambda # these two values should be the same, and they are # index to minimum mse (i <- cv_model$index[1]) which(cv_model$lambda == cv_model$lambda.min) # these two values should be the same, and they are # value of minimum mse cv_model$cvm[i] min(cv_model$cvm) plot(cv_model) Hope this helps, Rui Barradas -- Este e-mail foi analisado pelo software antiv?rus AVG para verificar a presen?a de v?rus. www.avg.com

...Total..ug.kg W = 0.943, p-value = 1.301e-06 > sf.test(Mn.Total..ug.kg) Shapiro-Francia normality test data: Mn.Total..ug.kg W = 0.5173, p-value < 2.2e-16 > sf.test(ln.Mn.Total..ug.kg) Shapiro-Francia normality test data: ln.Mn.Total..ug.kg W = 0.9403, p-value = 3.461e-06 > cvm.test(Mn.Total..ug.kg) Cramer-von Mises normality test data: Mn.Total..ug.kg W = 4.024, p-value = 1.637e+31 > cvm.test(ln.Mn.Total..ug.kg) Cramer-von Mises normality test data: ln.Mn.Total..ug.kg W = 0.356, p-value = 7.647e-05 > lillie.test(Mn.Total..ug.kg) Lilliefors (Kolmogorov...

I''m currently planning a social app in Rails that relies on being able to see how far you are from everyone else. It''s my intention to store rough geo-coordinates as part of the sign up process. My intention is to capture their zipcode or postal code, and then be able to query a webservice once for that data. It''s also possible that there might be a database or even

...:38 PM Upananda Pani > > <mailto:upananda.pani at gmail.com> > > wrote: > > > > > > Dear All, > > > > > > I am using roptest function of package "ROptEst" (Kohl and > > > Ruckdeschel > > > (2019)) to find out the ML, CvM-MD, and the RMX estimator and their > > > asymptotic confidence intervals. I am assuming 1-5% of erroneous > > > data for the RMX estimator. > > > > > > Then I am trying to Plot the data in the form of a histogram and add > > > the three Gamma distributi...

Hello list, Is there any function in some package can calculate two sample Cramer-von Mises test statistic? I searched around and only find one sample version cvm.test() in nortest package. thanks, WC _________________________________________________________________ Don’t just search. Find. Check out the new MSN Search!

...based on pair-correlation function. I know the function "pcfinhom" is available to characterize the IPP, but I have no idea about how to use the pcf with Thomas process? Additionally, generating simulation envelopes using these two null models is another problem for me. Cramer-von Mises (CvM) can assess the curve-wise significance of deviations from null hypothese, but in the spatstat package, is there any functions can do this work? I am not very familiar with R, so my problem might be simple. I hope anyone have any experience with these work can give me any assistance. Many thanks...

Dear R-experts, I really thank you all a lot for your responses. So, here is the error (and warning) messages at the end of my R code. Many thanks for your help. Error in UseMethod("predict") : ? no applicable method for 'predict' applied to an object of class "c('matrix', 'array', 'double', 'numeric')" > mean(unlist(lst)) [1] NA

Hi, I am writing to seek some guidance regarding using Lasso regression with the R package LARS. I have introductory statistics background but I am trying to learn more. Right now I am trying to duplicate the results in a paper for shRNA prediction "An accurate and interpretable model for siRNA efficacy prediction, Jean-Philippe Vert et. al, Bioinformatics" for a Bioinformatics project

Hello all, Would somebody be kind enough to show me how to do a KS test in R for a lognormal distribution with ESTIMATED parameters. The R function ks.test()says "the parameters specified must be prespecified and not estimated from the data" Is there a way to correct this when one uses estimated data? Regards, Kwabena. -------------------------------------------- Kwabena Adusei-Poku

...ual or grouped data. o Function emm() to compute the k-th empirical raw (non-central) moment of a sample of individual or grouped data. o Function mde() to compute minimum distance estimators from a sample of individual or grouped data using one of three distance measures: Cramer-von Mises (CvM), chi-square, layer average severity (LAS). Usage is similar to fitdistr() of package 'MASS'. o Function coverage() to obtain the pdf or cdf of the payment per payment or payment per loss random variable under any combination of the following coverage modifications: ordinary of franc...