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Is anyone aware of an R package that implements Pedroni's FMOLS (Fully Modified Ordinary Least Squares) package, for panel data with non-stationary and co-integration?

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Someone over at R-Help suggested I ask this question here: Is anyone aware of an R package that implements Pedroni's FMOLS (Fully Modified Ordinary Least Squares) package, for panel data with non-stationary and co-integration?

I have a vector of probabilities that I would like to feed to rbinom() and have it return a 1 or 0 for each element. I have tried simply using the entire vector as the argument hoping R would understand...

I have a large data set where one of the columns needs be a unique identifier (ID) for each row. However for a few of the rows they have the same ID. What I need to do is randomly draw...

This is a question I have wanted to ask for a while but hesitated because I was sut sure I would find the answer on my own, but as of yet...no dice. 1) Is there a way to use...

I am having a little trouble getting R to do something without writing a couple of very awkward loops. I have a matrix of probabilities and I want to generate a new matrix of ones and zeros where each element...

> It is really the same thing. One of many possibilities: > >> theFrame <- data.frame(theValues=runif(150,-10,10)) >> exact <- diag(15)[1+ (rank(theFrame$theValues)-1)%/%10,] >> not.so.exact <- diag(15)[1+ >> (rank(theFrame$theValues+runif(150,0,3...

I am having some trouble getting the persp() package to change the x and y axis on a 3d plot. It defaults to the [0,1] interval and when I try to change it I get errors. Example: This works...

Is anyone aware of an R package that uses Rcpp and Boost.Geometry? I am looking for examples to learn from rather than asking many questions here. I am trying to write custom as<>() and wrap() converters for the most...

# I have a function that takes a few vectors manipulates them and then outputs a matrix of results: funct1 <- function(eh,be){ ce <- eh+be data.frame(eh,be,ce) } ones <- c(1,1,1) twos <- c(2,2,2...