search for: bootrs

Hello, I am trying to complete a response function analysis using the command dcc in the package 'bootRes'. Here is my code: DC<-read.table("Dalton.txt", header=T) climate<-read.table("climate.txt", header=T) dcc.DC<-dcc(DC, climate, method ="response", start = -4, end =9) My data is formatted correctly for this analysis, with 'DC' being a

Dear all, I hope someone can assist with soliving my problems with the DCC function in the BOOTRES package. Initially did my analyses in Dendroclim, but when I tried to repeat the analyses in dcc I encountered some problems, that I think I should report. First I encountered that that one variable (April precipitation) that was determined as significant in Dendroclim's response function

Dear all, I am running a simulation study to test variable imputation methods for Cox models using R 2.9.0 and Windows XP. The code I have written (which is rather long) works (if I set nsim = 9) with the following starting values. >bootrs(nsim=9,lendevdat=1500,lenvaldat=855,ac1=-0.19122,bc1=-0.18355,cc1=-0.51982,cc2=-0.49628,eprop1=0.98,eprop2=0.28,lda=0.003) I need to run the code 1400 times in total (bootstrap resampling) however, occasionally the random numbers generated lead to a singularity and hence the code crashes as one of...

This patch introduces extra functionality to chain.c, mainly with reference to BPB adjustments, but not only that. It expects 3 small patches I sent earlier (they are included for easy reference, patches 1-3/4). The changes introduced are: 1) file and boot sector use separate options to control load address and jump address (if applicable). Options are as described below: *

CRAN (and crantastic) updates this week New packages ------------ * disclapmix (0.1) Maintainer: Mikkel Meyer Andersen Author(s): Mikkel Meyer Andersen and Poul Svante Eriksen License: GPL-2 http://crantastic.org/packages/disclapmix disclapmix makes inference in a mixture of Discrete Laplace distributions using the EM algorithm. * EstSimPDMP (1.1) Maintainer: Unknown Author(s):