similar to: riwish() problem

Hello Everyone Both the MCMCpack and the bayesm libraries allow us to make draws from the Inverse Wishart distribution. But I wanted to find out how exactly is the Inverse Wishart distribution parameterized in these libraries. The reason I ask is the following: Now its generally standard to express Inverse Wishart as IW(0.5 * DOF,0.5* Scale). (DOF-> Degree of freedom, Scale -> Scale

Dear useRs, I have written a function that implements a Bayesian method to compare a patient's score on two tasks with that of a small control group, as described in Crawford, J. and Garthwaite, P. (2007). Comparison of a single case to a control or normative sample in neuropsychology: Development of a bayesian approach. Cognitive Neuropsychology, 24(4):343?372. The function (see

----- Forwarded message from Zooko O''Whielacronx <zooko at zooko.com> ----- From: Zooko O''Whielacronx <zooko at zooko.com> Date: Sat, 21 May 2011 12:50:19 -0600 To: Crypto discussion list <cryptography at randombit.net> Subject: Re: [cryptography] rolling hashes, EDC/ECC vs MAC/MIC, etc. Reply-To: Crypto discussion list <cryptography at randombit.net>

Hello everyone I was wondering how would one simulate from a Normal Wishart Distribution in R. A normal inverted Wishart distribution is denoted by NIW (M,C,d,S), where X/(Sigma) ~ N( M,C,(Sigma) ) -> a matrix normal distribution, (Sigma) -> column dispersion matrix (Sigma) ~ IW (d,S) -> inverted Wishart distribution Thanks a lot ! Best Shantanu [[alternative HTML version

If so, I''ve had trouble finding it. Can anyone help?

Dear R users, I am doing MCMC using Metropolis-Hastings. My model is bivariate-log-normal and the prior for variance-covariance is wishart distribution. I am wondering if there are some simple codes about how to get the density of Wishart distribution in my case ? Thanks in advance. Meihua [[alternative HTML version deleted]]

On Tue, Feb 28, 2023 at 12:24:04PM +0100, Laszlo Ersek wrote: > On 2/27/23 17:44, Richard W.M. Jones wrote: > > On Mon, Feb 27, 2023 at 08:42:23AM -0600, Eric Blake wrote: > >> Or intentionally choose a hash that can be computed out-of-order, such > >> as a Merkle Tree. But we'd need a standard setup for all parties to > >> agree on how the hash is to be

Hi, I am not sure if this make sense at all. I'd like to sample a matrix, which follows a wishart / inverted wishart distribution. However, the (1,1) element of this matrix should always be equal to 1. How can I handle it in R? Any suggestion is greatly appreciated. Thanks a lot. Sonia [[alternative HTML version deleted]]

Dear R users, I would like to make my R code for MCMC faster. It is possible to integrate C code into R but I think C is too complicated for me. I would need a C introduction only for MCMC and I do not know if such a thing exists. I was thinking of Python (and scipy). Where could I read about its integration into R ? How developed are the statistical packages in Python ? I could not find a

https://github.com/kubevirt/containerized-data-importer/issues/1520 Hi Eric, We had a question from the Kubevirt team related to the above issue. The question is roughly if it's possible to calculate the checksum of an image as an nbdkit filter and/or in the qemu block layer. Supplemental #1: could qemu-img convert calculate a checksum as it goes along? Supplemental #2: could we detect

Hi Thanks for replying my question! What really interested me is that the package providing some complex form sampling, such as wishart, multinomial, dirichlet. And others for example conditional beta distribution confining the random variable in the interval (a, b). Since these concept are widely used in the baysian, I wonder whether somebody has already written this package. Thanks! Best

For the encryption functionality in the ZFS filesystem we use AES in CCM or GCM mode at the block level to provide confidentiality and authentication. There is also a SHA256 checksum per block (of the ciphertext) that forms a Merkle tree of all the blocks in the pool. Note that I have to store the full IV in the block. A block here is a ZFS block which is any power of two from 512 bytes to

Dear List, Is there any function in R to generate multivariate F distribution with given correlation/covariance matrix? Actually, I just want to generate some 2-dimentional non-normal data sets (skewed) for low (may be around 0.3 cor coeff.) negatively and also positively correlated variables ? Thanks in advance. Anna

Hi R-help, I am working with US COOP network station data and the files are concatenated in single rows for all years, but I need to pull these apart into rows for each day. To do this, I need to extract part of each row such as station id, year, mo, and repeat this against other variables in the row (days). My problem is that there are repeated values for each day, and the files are fixed width

On 02/09/2017 01:11 PM, Leonard den Ottolander wrote: > On Thu, 2017-02-09 at 12:58 -0600, Johnny Hughes wrote: >> At the time of extraction, the <name>.metadata file is created (again, >> not by us, but by the Red Hat team that distributes source), and all the >> non-text sha1sums are in there as well as all the text sources. > > Aha, <name>.metadata, well,

On Mon, Feb 27, 2023 at 08:42:23AM -0600, Eric Blake wrote: > Or intentionally choose a hash that can be computed out-of-order, such > as a Merkle Tree. But we'd need a standard setup for all parties to > agree on how the hash is to be computed and checked, if it is going to > be anything more than just a linear hash of the entire guest-visible > contents. Unfortunately I

I want to generate a valid variance-covariance matrix. One way could be to generate some random sample from multivariate normal distribution and then calculate cov. matrix. Another way could be to sample from wishart distribution itself. However both cases need a valid i.e. PD covariance matrix. As I need to generate that covariance matrix only, I am not interested those two methods. Can anyone

Respected R Users, I looking for help with generating theoretical confidence regions for any of non-symmetric bivariate statistical distributions (bivariate Chi-squared distribution<Wishart distribution>, bivariate F-distribution, or any of the others). I want to to used it as a benchmark to compare a few strategies constructing confidence regions for non-symmetric bivariate data. There is

Dear SavioRs, I am doing some research where characters in different microsoft fonts serve as experimental stimuli. Hence, in plot labels, I would like to display the characters in specific microsoft fonts. I have figured out how to display letters and numbers, but I am having trouble with symbols such as capital delta. Before I go further, I am using R 2.2.1 on Windows XP with everything

On 2/27/23 17:44, Richard W.M. Jones wrote: > On Mon, Feb 27, 2023 at 08:42:23AM -0600, Eric Blake wrote: >> Or intentionally choose a hash that can be computed out-of-order, such >> as a Merkle Tree. But we'd need a standard setup for all parties to >> agree on how the hash is to be computed and checked, if it is going to >> be anything more than just a linear hash