search for: spatialextremes

Hi, I try to use the function profile() of the SpatialExtremes' package to obtain the profile likelihood of parameters for an extreme values fit based on Poisson process : fit<-fpot(data, threshold, model="pp", npp=365). But when I call "profile(fit)", I obtain the following error (even if I precise others arguments of the function...

...s! Is there in any package for R which can help me generate madogram, rodogram, semi-variogram, cross variogram from landsat imagery. I intend to select portions of large imagery (i.e., obtain subsets) and generate the above said texture layers. A simple Google search led to me a result suggesting SpatialExtremes for generating madograms. However I am not sure about its capability to generate one for image layers. I am a beginner level user in R and that's why I am posting this question to give me a quick start. Thanks and regards, Chethan S. -- Chethan S. PG Student | Remote Sensing and Geographic...

Hi, I want to use rbpspline {SpatialExtremes}. My predictor variables have multiple dimensions, In R-help it says that knots will be a vector givint the coordinates of the knots. However, my knots should have multiple dimension. How can I generate knots for multidimensional case? Thanks in advance [[alternative HTML version deleted]]

this is probably not really a R specific question, if so apologies for off-topic posting: I'm interested in the probability density function of the maximum values from repeated samples of size N from a normal distribution: smp <- rnorm(N, meanval, stdev) with some mean 'meanval' and standard deviation 'stdev'. I would like to know what is the frequency distribution of

Folks, I'm kind of newbie in R, but with some background in Matlab and VBA programming. Last month I was implementing a Maximum Likelihood Estimation in Matlab, but the algorithms didn't converge. So my academic advisor suggested using R. My problem is: estimate a mean reverting jump diffusion parameters. I've succeeded in deriving the likelihood function (which looks like a gaussian

Dear R experts, recently I started developing a Rcpp package "OpenMPTest". Within that package I want to use OpenMP, as in the following code example: // header file #include <omp.h> using namespace Rcpp ; RcppExport SEXP testOpenMP( SEXP nThreads ) ; // cpp file SEXP testOpenMP( SEXP nThreads ) { BEGIN_RCPP NumericVector numberThreads = NumericVector( nThreads );

CRAN (and crantastic) updates this week New packages ------------ * Bergm (1.0) Alberto Caimo http://crantastic.org/packages/Bergm Functions implementing Bayesian estimation for exponential random graph models via exchange algorithm Updated packages ---------------- lmtest (0.9-26), logcondens (1.3.5), MTSKNN (0.0-4), pmml (1.2.21), r2lUniv (0.9.4), rattle (2.5.11), rgdal (0.6-23),

CRAN (and crantastic) updates this week New packages ------------ * bdoc (1.0) Michael Anderson http://crantastic.org/packages/bdoc This package contains a function that will classify DNA barcodes as well as a few test and reference data sets. * bdsmatrix (1.0) Terry Therneau http://crantastic.org/packages/bdsmatrix This is a special case of sparse matrices, used by coxme and

CRAN (and crantastic) updates this week New packages ------------ * allan (1.0) Alan Lee http://crantastic.org/packages/allan Automates Large Linear Analysis Model Fitting * andrews (1.0) Jaroslav Myslivec http://crantastic.org/packages/andrews Andrews curves for visualization of multidimensional data * anesrake (0.3) Josh Pasek http://crantastic.org/packages/anesrake This