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...tted, predict, logLik. It also has additional methods for estimating robust standard errors: estfun and bread. The package also provides all the popular MIDAS regression restrictions such as normalized Almon exponential lag, normalized beta lag and etc. The package has the project webpage (http://mpiktas.github.io/midasr/) and you can follow its development on github (https://github.com/mpiktas/midasr). The detailed description of the package features can be found in the user guide. The user guide, all of the code examples in the user guide and some additional examples together with the user guid...

Mpiktas <mpiktas at delfi.lt> wrote : >Something like memory.limit(512) will do the trick Luis Silva <lm.silva at sapo.pt> wrote : >I had that problem already. In windows I did this >C:\Programas\R\rw1060\bin\Rgui.exe --max-mem-size=400M >in the icon path of R. You'll have t...

Full_Name: Vaidotas Zemlys Version: 2.1.1 OS: Ubuntu 05.10 Submission from: (NULL) (213.197.173.50) Hi, This is really a feature request, not a bug. I wrote the mail to R-devel, but nobody answered it. I use Gnome on my computer and sometimes I use its default text editor gedit. It uses gtksourceview library for syntax highlighting. I decided that it would be nice if gedit supported R

I want to predict values from an existing lm (linear model, e.g. lm.obj) result in R using a new set of predictor variables (e.g. newdata). However, it seems that because my linear models was made by calling scale() on the target predictor that predict exits with an error, "Error in scale(xxA, center = 9.7846094491829, scale = 0.959413568556403) : object 'xxA' not found". By

Hello, I want to bootstarp a sample, and I need table() for each sample taken, like if R=100, I need all 100 table(). It seems to mee that boot() works anly if you assing statistics, that gives you back one number, like mean. Although the ?boot/statistics says that it can be a vector containing statistics. table() gives an array, so it might work. Does anybody have an idea how? I konw it can be

Hi, Today I came accros a very interesting thing. I was asked how much time it takes for R to calculate the product of two large matrices. So I generated two 2000x2000 matrices of random normal numbers and measured the time with function system.time m1 <- matrix(rnorm(2000*2000),2000) m2 <- matrix(rnorm(2000*2000),2000) system.time(m3 <- m1%*%m2) and it produced 46.47 0.36 47.68

Hi, I'm having problems while working with large data sets with R 1.5.1 in windows 2000. Given a integer matrix size of 30 columns and 15000 rows my function should return a boolean matrix size of about 5000 rows and 15000 columns. First of all I tried to run this function on computer with 256 MB of RAM. I increased memory limit of R with memory.limit() up to 512 MB. I was inspecting

Hi, Is it possible to make R start not from terminal with option --gui=GNOME? Now if in the launcher preferences checkbox run from terminal is not checked, R with option --gui=GNOME doesn't start. If started with checked checkbox, i.e. from terminal, besides R, terminal window also appears, but it is of no use. Yet if it is closed, the R window closes together. Is this a feature, or is

Hi, Does R have any functions implementing such multinomial regression: (S_t^A,S_t^B)~MN(N_t-Y_{t-1},P_t^A,P_t^B) where MN(n,p_1,p_2) is multinomial distribution with parameters n, p_1, p_2. Here P_t^A and P_t^B are nonlinear functions from predictor variables and parameters which need to be estimated. Here A and B are used for notation, they are not parameters. My second question is about

Hi, I was trying to repeat the estimation of threshold GARCH models from the book "Analysis of Financial Time Series" by Ruey S. Tsay, and I was succesfull, but I had to use "for" loop, which is quite slow. The loop is necessary, since you need to calculate recursive sequence. Is there a faster way to do this in R, without using loops? The model is such: r_t = \mu + \alpha_2

Hi, > Le 17 mai 2017 ? 00:42, Dirk Eddelbuettel <edd at debian.org> a ?crit : > > > On 8 May 2017 at 15:39, Vaidotas Zemlys wrote: > | Hi, > | > | Dirk Eddelbuettel advised me to write here. Here is my original letter to him: > | > | I would like to enquire about package r-cran-rjava on Debian jesse. It seems that if default-jre package is not installed, but

Hi, Dirk Eddelbuettel advised me to write here. Here is my original letter to him: I would like to enquire about package r-cran-rjava on Debian jesse. It seems that if default-jre package is not installed, but openjdk-7-jre is installed, then library(rJava) in R fails. I?ve been bitten by this today and I wonder whether this an issue of mine, or is this a possible bug. My server admin used

Hi, Today I came upon unexpected R behaviour. I did some modelling and the result was R object, about 28MB size (nested list, with matrixes as list elements). When I was saving the session with save.image, the resulting .RData file was 300MB. There were no other large objects: >