similar to: [Fwd: [ wxruby-Bugs-6144 ] error: cast from ‘void*’ to ‘int’ loses precision]

R lets one lock an environment with both an R function, base::lockEnvironment, and a C function, R_LockEnvironment, but, as far as I can tell, no corresponding function to unlock an environment. Is this omission on principle or just something that has not been done yet? I ask because several packages, including the well-used R6 and rlang packages, fiddle with some bits in with SET_ENVFLAGS and

Hello everybody, In order to predict income for different time points, I fitted a linear model with polynomial effects using BMA (bicreg(...)). It works fine, the results are consistent with what we are looking for. Now, we would like to predict income for a future time point t_next and of course draw the prediction interval around the estimated value for this point t_next. I've found the

I was investigating why the find dialog causes an error when you close it. It seems that wxRuby2 is returning a new ruby object when you call Event.get_dialog. This causes some big problems when you''re expecting you''re going to get back the same ruby pointer that you put in. In a brief check over the source I don''t see anything that preserves the original ruby

HI, List I want to know weather any body has used BMA Package for model averaging for prediction of future values.....What are the paprmeters we have to suplly to the model. Any script for the same. thanks in advance ANIL KUMAR( METEOROLOGIST) LRF SECTION NATIONAL CLIMATE CENTER ADGM(RESEARCH) INDIA METEOROLOGICAL DEPARTMENT SHIVIJI NAGAR PUNE-411005 INDIA MOBILE +919422023277

I just grabbed the latest wxruby-swig from cvs and tried to compile it (without enabling the SWIG step) on my gentoo Linux box. I get: g++ -c -I/usr/lib/wx/include/gtk2-2.4 -DGTK_NO_CHECK_CASTS -D__WXGTK__ -D_FILE_OFFSET_BITS=64 -D_LARGE_FILES -O2 -march=athlon-xp -fPIC -I /usr/lib/ruby/gems/1.8/gems/rake-0.4.8/bin -I /usr/lib/ruby/gems/1.8/gems/rake-0.4.8/lib -I

Hello! I have data containing a large number of probabilities (about 60) of nonzero coefficients to predict 10 different independent variables (in 10 different BMA models). i've arranged these probabilities in a matrix like so: (IV1) (IV2) (IV3) ... p(b0) p(b0) p(b0) p(b1) p(b1) p(b1) p(b2) p(b2) p(b2) ... where p(b1) for independent variable 1 is p(b1 !=

Dear friends, In R, the help of "bic.glm" tells the difference between postmean(the posterior mean of each coefficient from model averaging) and condpostmean(the posterior mean of each coefficient conditional on the variable being included in the model), But it's still unclear about the results explanations, and the artile of Rnews in 2005 on BMA still don't give more detail on

The latest cvs version of SWIG breaks a few things. I have patched common.i to fix most of it. There will be some other things later that should be compatible with all versions. Can someone test to see if this compiles with the old version? Roy -------------- next part -------------- An embedded and charset-unspecified text was scrubbed... Name: common.i.patch Url:

Hi folks, Let me start off by saying I''ve just been following wxruby development for two or three days now and have read up on alot on what has been going on. I must say I''m impressed and happy about all the things being developed and created by you guys! You got me all excited and I know I''m not the only one. If I have an opportunity to spend more time investigating

Hi all, Ruby 1.8.1 Solaris 9 wxwindows 2.4.2 (package from blastwave.org) wxruby 0.3.0 I''m having trouble getting this sucker to build on my Solaris box. Here''s how I''m building: ruby extconf.rb --with-xrc-dir=/opt/csw --with-xrc-include=/opt/csw/lib/wx The include directive I added because the setup.h file is there (for whatever reason). And yes, /opt/csw/bin and

The article on BMA (Bayesian model averaging) presents most valuable tools for model selection, but I find one detail confusing in Example 1. In page 4 of RNews 5/2, second paragraph says that the probability of Time variable not being in the model is 0.445. It seems to me that the figure should be 1 - 0.445 = 0.555, because p!=0.445 is the prob. of Time variable being in the model. The plot in

Hello R Group, Below is the code I submit: library("BMA") X <- read.table("C:/Documents and Settings/Administrator/Desktop/coding.txt",header=TRUE) Y <- read.table("C:/Documents and Settings/Administrator/Desktop/1DCS.txt",header=TRUE) IGout<- iBMA.glm(X, Y, glm.family= gaussian(), verbose = TRUE, thresProbne0 = 5 ) summary(IGout) IGout I

On 2019-12-27 04:34, Duncan Murdoch wrote: > On 26/12/2019 11:14 p.m., Spencer Graves wrote: >> Hello, All: >> >> >> ? ????? The default "simulate" method for lm and glm seems to ignore the >> sampling variance of the parameter estimates;? see the trivial lm and >> glm examples below.? Both these examples estimate a mean with formula = >>

Hi, I used the bic.surv function, S-PLUS functions developed by Chris Volinsky http://www.research.att.com/~volinsky/bma.html, without problems with S-PLUS. I have to use it with R but I am face with a problem: this function call a fortran routine named "leaps" (answer <- .Fortran("leaps", arguments)). I loaded the leaps library, and the leaps function work well with my R,

Installing the gem from rubygems, along with the available wxwidgets packages from synaptic, I'd recieve this error: /usr/lib/ruby/gems/1.8/gems/wxruby-2.0.1-x86-linux/lib/wxruby2.so: /usr/lib/ruby/gems/1.8/gems/wxruby-2.0.1-x86-linux/lib/wxruby2.so: symbol _ZN13wxAuiNotebook14ShowWindowMenuEv, version WXU_2.8.5 not defined in file libwx_gtk2u_aui-2.8.so.0 with link time reference -

Dear friends. On the Bayesian averaging homepage http://www.research.att.com/~volinsky/bma.html I found some S code some of which perhaps may run in R. There was a call to an algorithm possibly within S but not supported by R 64.1: "leaps and bounds". I guess it is a minimization step. Can anyone clarify the algorithm and perhaps even give a pointer to some code ? I guess this may be

Hello, All: ????? The default "simulate" method for lm and glm seems to ignore the sampling variance of the parameter estimates;? see the trivial lm and glm examples below.? Both these examples estimate a mean with formula = x~1.? In both cases, the variance of the estimated mean is 1. ??? ??????? * In the lm example with x0 = c(-1, 1), var(x0) = 2, and

Robust Covariance Estimation Software via Nearest Neighbor Variance Estimation (NNVE) Software to carry out robust covariance estimation by Nearest Neighbor Variance Estimation (NNVE) [Wang and Raftery (2002, J. Amer. Statist. Ass.)] is now available for R and Splus. In the simulation studies published in JASA, this had mean squared error at least 100 times smaller than that of other leading

Robust Covariance Estimation Software via Nearest Neighbor Variance Estimation (NNVE) Software to carry out robust covariance estimation by Nearest Neighbor Variance Estimation (NNVE) [Wang and Raftery (2002, J. Amer. Statist. Ass.)] is now available for R and Splus. In the simulation studies published in JASA, this had mean squared error at least 100 times smaller than that of other leading

Hi, I'm trying to using pspline in bic.surv{BMA}. ############################# library(BMA) library(survival) data(veteran) test.bic.surv<- bic.surv(Surv(time,status) ~ karno+pspline(age,df=3)+diagtime+prior, data = veteran, factor.type = TRUE) summary(test.bic.surv, conditional=FALSE, digits=2) ############################# The results are: