Hi,
I am using the FracSim library to simulate a time series. However, the
simulate function ignores my attempt to set the RNG seed I need for
reproducible research. The published docs and google have not yielded an
answer, so any help greatly received.
Thanks,
Selwyn
## Example code snippet
lib
Berwin,
Many thanks for your reply - your solution is exactly what I was
looking for and the additional advice is also much appreciated.
Have a good day :-)
Selwyn
On Mon, Feb 16, 2009 at 3:13 PM, Berwin A Turlach
wrote:
> G'day Selwyn,
>
> On Mon, 16 Feb 2009 10:11:20
[reposting as a plain text - apologies for the double posting]
Dear list,
I am trying to follow an example that estimates a 2x2 markov
transition matrix across several periods from aggregate data using
restricted least squares.
I seem to be making headway using solve.QP(quadprog) as the
unrestri
Dear list,
I am trying to follow an example that estimates a 2x2 markov transition
matrix across several periods from aggregate data using restricted least
squares.
I seem to be making headway using solve.QP(quadprog) as the unrestricted
solution matches the example I am following, and I can spec
, 0.25)
> constraints2 = c(12, 7, 99)
>
> temp <- lp(objective.in = proportions2,
> const.mat = diag(c(1,1,1)),
> const.rhs=constraints2,
> const.dir=rep('<=',3),
> direction='max'
> )
>
> print(temp$solution)
>
> ## > Success: the obj
Hi list,
I want to find the total maximum resources I can spend given a set
allocation proportion and some simple budget constraints.
However, I get suboptimal results via lp and friends (i.e. lpSolve and
simplex in the linprog and boot) .
For example:
library(lpSolve)
proportions = c( 0.46, 0
Hi list,
I want to find the total maximum resources I can spend given a set
allocation proportion and some simple budget constraints.
However, I get suboptimal results via lp and friends (i.e. lpSolve and
simplex in the linprog and boot) .
For example:
library(lpSolve)
proportions = c( 0.46, 0
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