similar to: glm: modelling zeros as binary and non-zeroes as coming from a continuous distribution

I'm trying to run a zero-inflated regression for a continuous response variable in R. I'm aware of a gamlss implementation, but I'd really like to try out this algorithm by Dale McLerran that is conceptually a bit more straightforward. Unfortunately, the code is in SAS and I'm not sure how to re-write it for something like nlme (if at all possible - with conditions etc). Does

Dear All I am having problems to install the package COZIGAM. Despite I have the update version of R (3.0.2) when I try to load the package I cannot find it in the list of available packages. If I try to install it from a local zip file I do get this error message: Error in read.dcf(file.path(pkgname, "DESCRIPTION"), c("Package", "Type")) : cannot open the

Hi All, Another quick question - I noticed that COZIGAM has been removed from CRAN, and that you are referred to the archive for previous versions (last updated 23 July 2012). Is this package still ok to use? Or is there an alternative which might also fit zero-inflated GAMs? Thanks, Raeanne The Scottish Association for Marine Science (SAMS) is registered in Scotland as a Company Limited by

Dear List, I posted this in R-mixed and did not receive any feedback. I might post it in the wrong place. I re-post in R-help and hope to receive any suggestions and\or thoughts regarding data analysis. The objective of the study is to investigate effects of soil properties on insect outbreaks. There are four study fields (or sites). Data were collected from 1996 through 2009. Below is

Dear all, I am trying to learn Bayesian inference and Bayesian data analysis, I am new in the field. Would any experts on the list recommend any good sites or materials for beginners? My approach is to learn and understand the theory first, then program on my own using R, though I see there are already packages. appreciate any help, thanks in advance!

 Hello everyone, Apologies in advance, as this is partially a stats question and partially an R question.  I have been using a GAM to model the activity level of bats going into and coming out from a forested edge.  I had eight microphones set up in a line transect at each of eight sites, and I am hoping to construct a model for each of 7 species.  My count data has a reverse J-shaped skew and

Hello Imagine I have a vector with ones and zeroes I write it compactly: 1111111100001111111111110000000001111111111100101 I need to get a new vector replacing the "N" ones following the zeroes to new zeroes. For example for N = 3 1111111100001111111111110000000001111111111100101 becomes 1111111100000001111111110000000000001111111100000 I can do it with a for loop but I've read

On 1/18/2018 12:57 AM, ORiordan, Martin via llvm-dev wrote: > Quick question. The 'ISD::CTPOP' node allows a target to lower the counting of ones in a word to a single instruction. Our target also has an instruction for counting the zeroes in a word. Does CTPOP support counting of zeroes as well as ones instead of doing either "CTPOP(INVERT(operand))" or "N-bits -

The test script I used is also attached. Rich. -- Richard Jones, Virtualization Group, Red Hat http://people.redhat.com/~rjones libguestfs lets you edit virtual machines. Supports shell scripting, bindings from many languages. http://libguestfs.org -------------- next part -------------- >From 5a50c04906828f6e99db6a9be420c84114476d39 Mon Sep 17 00:00:00 2001 From: "Richard W.M.

Hi all. How to force the creation of arrays with zeroes? Or this use-case is not provided? -- Truly yours, Stepan Dyatkovskiy

Hi Stepan, > Hi all. How to force the creation of arrays with zeroes? Or this use-case is not provided? you can't, you can only get a ConstantAggregateZero. This is actually kind of annoying, and means that places expecting a ConstantArray have to remember to also check for ConstantAggregateZero. Perhaps there's a good reason for the current design, but if not it would be great to

On Tue, May 29, 2018 at 09:42:24AM +0800, Changpeng Liu wrote: > num = blk_rq_map_sg(hctx->queue, req, vbr->sg); > if (num) { > - if (rq_data_dir(req) == WRITE) > + if (rq_data_dir(req) == WRITE || type == VIRTIO_BLK_T_DISCARD || > + type == VIRTIO_BLK_T_WRITE_ZEROES) > vbr->out_hdr.type |= cpu_to_virtio32(vblk->vdev, VIRTIO_BLK_T_OUT); The VIRTIO

On Thu, May 31, 2018 at 11:53:26PM +0000, Liu, Changpeng wrote: > > > > -----Original Message----- > > From: Stefan Hajnoczi [mailto:stefanha at redhat.com] > > Sent: Thursday, May 31, 2018 6:31 PM > > To: Liu, Changpeng <changpeng.liu at intel.com> > > Cc: virtualization at lists.linux-foundation.org; cavery at redhat.com; > > jasowang at

On 04/06/2018 06:14, Liu, Changpeng wrote: >>> But I believe the specification says VIRTIO_BLK_T_OUT means direction, so >>> OR the two bits together should compliance with the specification. >> I cannot find that in the specification: >> >> http://docs.oasis-open.org/virtio/virtio/v1.0/cs04/virtio-v1.0-cs04.html#x1- >> 2020002 >> >> and it

On Mon, Oct 29, 2018 at 05:05:21AM +0000, Stefan Hajnoczi wrote: > On Fri, Oct 26, 2018 at 10:47:16AM -0400, Michael S. Tsirkin wrote: > > On Fri, Oct 26, 2018 at 09:08:38AM +0100, Stefan Hajnoczi wrote: > > > On Fri, Oct 12, 2018 at 02:06:28PM -0700, Daniel Verkamp wrote: > > > > + range[n].flags = cpu_to_le32(flags); > > > > + range[n].num_sectors =

In the C part of the OCaml plugin we create a ‘bytes’ [byte array] and pass it to the OCaml pread method. The plugin should overwrite the array with the returned data. However if (eg. because of a bug) the plugin does not fill the array then whatever was in the OCaml or possibly even the C heap before the allocation is returned to the client, possibly resulting in a leak of sensitive data. We

Hello fellow R users, I wanted to view the density on the standard deviation scale of a gamma(0.001, 0.001) prior for the precision. I did this as seen in the code below and found that for some reason rgamma is giving many values equal to zero, which is strange since a gamma distribution is continuous. What is going on here? Thanks for any help in advance. Greg > x1 <- rgamma(10000,

Hi all, Suppose I had the below example where a survey was carried out recording the number of each type of pet in each house count<-c(2,1,2,1,2,3,4) house<-c("house1","house1","house2","house3","house4","house4","house4")

Sorry, forgot to reply-all ---------- Forwarded message ---------- From: Anton Korobeynikov <anton at korobeynikov.info> Date: Sat, Jan 21, 2012 at 20:59 Subject: Re: [LLVMdev] How to force the creation of arrays with zeroes? To: Stepan Dyatkovskiy <STPWORLD at narod.ru> > Though, there is also cases when we really need to transform it to 10,000 zeroes (just look at CBackend.cpp,

Hello all, I am using the hurdle model for fitting my count data using the pscl package which is working fine. However, I am stuck with the problem of calculating the percent correctly predicted (PCP) zeros for hurdle model. The method I am trying to use to achieve this is 'hitmiss' in the pscl package (ref: http://www.inside-r.org/packages/cran/pscl/docs/hitmiss). When I do: >