similar to: WG: Formal methods are not loaded from NAMESPACE inreloadedworkspace image

Dear R-Devel subscriber, as a follow up to my yesterday's email: I tested an analogous example with the S4-package "flexclust" by executing the following code: library(flexclust) example(cclust) cl After saving the work space and starting a new R process with the restored work space, the same behaviour (i.e., the methods pertinent to "flexclust" are not used, even after

Dear R-Devel subscriber, I was hinted to the following problem with package 'urca': If one starts R and executes for instance: > library(urca) > example(ur.df) ## output as expected, but omitted here > class(lc.df) [1] "ur.df" attr(,"package") [1] "urca" > class(summary(lc.df)) [1] "sumurca" attr(,"package") [1]

Dear R-list member, an update of package 'urca' has been uploaded to CRAN (Mirror: Austria). In the updated release unit root and cointegration tests encountered in applied econometric analysis are implemented. The package is written in 'pure' R and utilises S4 classes. In particular, the Johansen procedure with likelihood ratio tests for the inclusion of a linear trend,

Hi I am using the package urca and I am interested about the KPSS test. That works fine except the method "summary" did not work in the script, only when it is typed direct in the console the results are shown( not a source file). Is there any problem with these method ?

Hi R users! I've come across using kpss tests for time series analysis and i have a question that troubles me since i don't have much experience with time series and the mathematical part underlining it. x<-c(253, 252, 275, 275, 272, 254, 272, 252, 249, 300, 244, 258, 255, 285, 301, 278, 279, 304, 275, 276, 313, 292, 302, 322, 281, 298, 305, 295, 286, 327, 286, 270, 289, 293, 287,

Dear R Core Team, I am using package {urca} to do cointegration and estimate ECM model, but I have the following two problems: (1) I use ca.jo() to do cointegration first and can get the cointegration rank, alpha and beta. The next step is to test some restrictions on beta with blrtest(),bh5lrtest(), and bh6lrtest(). But none of them can add restrictions on all the cointegration

R-devel, I'm interested in looking at some examples of existing R packages that rely heavily on S4 classes to get a feel for varying styles and package organization techniques. Could you recommend any packages that might serve as a good starting point? Thanks in advance, Jeff

R-devel, I'm interested in looking at some examples of existing R packages that rely heavily on S4 classes to get a feel for varying styles and package organization techniques. Could you recommend any packages that might serve as a good starting point? Thanks in advance, Jeff

Hi everyone, I'm using the Johansen framework to determine a VEC using package urca. I have estimated the corresponding VEC using likelihood ratio test for restrictions on alpha, beta or both and I have generated objects of the class cajo.test. Now I want to diagnostic tests in the model, like heteroskedasticity test, residuals normality and serial autocorrelation, but I cannot find the way

I can't figure out how to get the "summary" method in the URCA package to work. E.g. when I use the following code fragment in the help for the "ca.jo" function, it always tries to use the "summary" method from the "base" package, not the "urca" package. How do I force it use the "summary" method of the "urca" package?

Hi - Writing to see if someone can suggest whether a problem warrants a bug report. It concerns the use of stepFlexclust in the flexclust package. The problem concerns the size of clusters returned. Versions: R-2.7.0 on Windows XP; RODBC_1.2-3 code snippet: r8 <- stepFlexclust(df,8,nrep=100,FUN=kcca, family=kccaFamily("kmedians")) summary(r8) ## returns cluster sizes of 51, 115,

Thank you Matthieu for your helpful suggestions. Unfortunately I still have problems. I have tried to compile it via your suggestion. " this is strange... you should have the usual summary... I have on my machine library(urca) test2<-ur.df(nottem, type="none", lags=1) summary(test2) " When I type in "library(urca)" I receive the following. "Error in

Hello, I'm trying to access a Samba share as anonymous/guest user, so I have added the following entry inf file smb.conf (Samba 4.9) guest account = andrea map to guest = bad user ... [test] available = yes browsable = yes guest ok = yes nfs4: acedup = merge nfs4: mode = special path = /var/tmp/test read only = no and the shared directory /var/tmp/test has the following permission (so

Situation: I had tired a 1000-data generated by random error(i.i.d.), then I sub it into different unit root tests. I got different results among the tests. The following are the test statistics I got: adf.test @ tseries ~ -10.2214 (lag = 9) ur.df @ urca ~ -21.8978 ur.sp @ urca ~ -27.68 pp.test @ tseries ~ -972.3343 (truncation lag =7) ur.pp @ urca ~ -973.2409 ur.kpss @ urca ~ 0.1867 kpss.test @

Hi I'm trying to utilize the break command for breaking the loop when the p-value is less than 10 per cent using the urca package. But it does not break the loop, anyone that can help me? library(urca) set.seed(1) a1 <- runif(100) lag.max <- function(object, n = 12){ matris <- matrix(NA, nrow = n) for(i in 1:n) { matris[i] <- ur.df(object, lags = i,

I'm not sure I have understood, I'm mounting the share as "urca" user, which is not a known user. Although I'm setting smb.conf so that for guest user it uses the privileges of the known user "andrea" Could you please advice on what I should set for "guest account" in smb.conf? Thanks Andrea Il 1/23/2019 5:15 PM, Rowland Penny via samba ha scritto:

Dear All, My question is: how can I estimate VECM system with "unrestricted trend" (aka "case 5") option as a deterministic term? As far as I know, ca.jo in urca package allows for "restricted trend" only [vecm <- ca.jo(data, type = "trace"/"eigen", ecdet = "trend", K = n, spec = "transitory"/"longrun")].

Dear list member, by running Rcmd check on a package where a customised 'CITATION' file should be included instead of the automatically produced one, the following error occurs: adding build stamp to DESCRIPTION installing NAMESPACE file and metadata installing R files installing inst files FIND: Parameter format not correct make[2]: *** [c:/R/packages/urca/inst] Error 2 make[1]:

Dear R users, I have the joined txt file in the following direct directory C:// I have written the following lines: library(urca); PIBTUN<-read.table("C:/AF.txt", header=F); ur.df(PIBTUN,type='none',lags=1) but I have obtained the following message: Error in embed(z, lags) : 'x' is not a vector or matrix I don't What's the problem, can you please help me Thank

Hi all, I have a dataset with numeric and factor columns of data which I developed a Gower Dissimilarity Matrix for (Daisy) and used Agglomerative Nesting (Agnes) to develop 20 clusters. I would like to use the 20 clusters to determine cluster membership for a new dataset (using predict) but cannot find a way to do this (no way to "predict" in the cluster package). I know I can use