similar to: Truncated Distributions - Estimating parameters

Dear R helpers, I have a bimodal dataset dealing with loss amounts. I have divided this dataset into two with the bounds for the first dataset i.e. dataset-A being 5,000$ to 100,000$ and the dataset-B deals with the losses exceeding 100,000$ i.e. dataset-B is left truncated. I need to fit truncated normal disribution to dataset - I having lower bound of 5000 and upper bound of 100,000. While I

I just landed these patches: commit c55051eea5d3cd57abfd9727f519b670517704d9 Author: Louis Dionne <ldionne at apple.com> Date: Thu Jun 25 12:02:43 2020 -0400 [libunwind] Allow specifying custom Lit config files This is the libunwind counterpart of 0c66af970c80. commit 33c9c10d183371edc95fa936705bef56f55ab611 Author: Louis Dionne <ldionne at

> On Mar 3, 2020, at 18:48, Eric Christopher <echristo at gmail.com> wrote: > > I'm one of those people ;) That's not something to be proud of if you expect a maintainer to commit on your behalf. If you commit yourself, then whatever. Louis > > -eric > > On Tue, Mar 3, 2020 at 2:20 PM Louis Dionne via llvm-dev <llvm-dev at lists.llvm.org

Dear Lists, I got the chance to review Bob Muenchen's book - R for SAS and SPSS users. While my detailed review is online at www.decisionstats.com, the book is a welcome addition in R Textbooks for beginners and an especially nice one for people who have experience in SAS and /or SPSS languages. AT 50 USD, it's reasonably priced for all geographies (;) , and quite handy as a refernce book

I am attempting to fit a partial credit model using the PCM() function in eRm. My data set comprises 88 items in 43 individuals with possible scores 0,1,2,3. Attempting either a PCM or RSM model fit simply hangs - no error messages but no return to command prompt and a continuously spinning "work in progress" indicator. The scores are from an instrument whose relevant psychometrics

Why did you want the symbols moved out of libc++experimental, and for the header to be moved from <experimental/filesystem> to <filesystem>? It certainly seems like it'd be safer and clearer to move them back to the old locations, but it's not clear to me if that'd be trading off something else of value. Was there some other greater purpose served by the change in

One of the MSVC devs recently said they are pushing for getting cmake 3.17.0 in the next point release which is expected in May. https://www.reddit.com/r/cpp/comments/fluibz/_/fl2bpz1 On Wed, Apr 8, 2020, 21:51 Chris Tetreault via llvm-dev < llvm-dev at lists.llvm.org> wrote: > Visual studio 2019 ships with CMake 3.15.5, which is pretty darn new IMO. > From what I can tell, CMake

> On Mar 3, 2020, at 17:16, Shoaib Meenai <smeenai at fb.com> wrote: > > `arc patch` should preserve the author information in the original commit, if there was any. At least it has in my experience. Yes, but I think people can upload raw patches to Phabricator without using `arc diff`. I know I ran into one of these just last week where I used Johannes' script (thanks!) and

Hi all. Many KUDOS to the Samba development team! I am trying to interpret some performance testing results, and could use some hela, and any possible Samba tuning suggestions. Oplocks are turned on, BTW, which has caused the Samba performance results to come WAY up compared to with prior Samba releases. The following test results consist of the time to perform database queries using a Borland

Hela, When I call my sip phone the phone rings and when i answer it all works great however while the phone rings the caller doesnt hear the 'beep, beep' I've had this before and fixed it too bad i can't remember how I did it , Anyone any suggesstions ? some specs : Freebsd 5.3 Asterisk 1.0.6 Phone : ArtDio IPF-2000 -Armand

Hello, Hela wrote : My problem in a few words is as folow: I used the fCopulae packages because i have 2 series which are already transformed in the uniform domain (the space of the copulas functions) and i estimated with type archmList() from 1 to 22, but i don't know their names:for exemple the type=4 is the Gumbel Copula...and for the others i can't have any idea about how can i find

Dear LLVM community, I would like to know whether it has already been discussed to provide pre-built snapshots of Clang/LLVM trunk available for download. This used to be available through llvm.org/apt, but since this is down I don't know of any alternative but to build it from source. My use case is to test the Boost.Hana library against Clang trunk on Travis, where building from source is

It is curious to me that we had so much push back about moving host-compiler versions, yet so little on the cmake versions. In my opinion, we need to have a unified ‘dependency age’ policy. Cmake 3.13.4 was released about 18 months ago, so unless we’re willing to move our GCC version to 8.3 JUST as easily, this seems like a horrific double standard. From: llvm-dev <llvm-dev-bounces at

Hello, I see that "mclust" is a pacakge that handles fitting mixtures of normals. Are there any other packages out that that can handle mixtures of gammas or other exponentials? Additionally, are there any packages out there that can fit bimodal distributions without mixtures? i.e., Cobb et al. 1983 using moment recursion relations? Thank you! mw Marion Wittmann, Ph.D.

Can anyone recommend a good nonparametric density approach for data bounded (say between 0 and 1)? For example, using the basic Gaussian density approach doesn't generate a very realistic shape (nor should it): > set.seed(1) > dat <- rbeta(100, 1, 2) > plot(density(dat)) (note the area outside of 0/1) The data I have may be bimodal or have other odd properties (e.g. point mass

What about helping the user: https://reviews.llvm.org/D83995 ? (can also improve the detection to point at the apt repo on Ubuntu if needed) -- Mehdi On Thu, Jul 16, 2020 at 6:21 PM James Y Knight via llvm-dev < llvm-dev at lists.llvm.org> wrote: > Please, no more waiting on CMake versions in distro LTS releases. We have > been *way* too conservative already, waiting this long.

For several years, I have been using Splus to analyze an ongoing series of datasets that have a bimodal distribution. I have used the following functions, in particular the ms() function, to estimate the parameters: two means, two standard deviations, and one proportion. Here is the code I've been using in S: btmp.bi <- function(vec, p, m1, m2, sd1, sd2) {

On 30 Jun 2020, at 16:04, Louis Dionne via llvm-dev <llvm-dev at lists.llvm.org> wrote: >> On Apr 8, 2020, at 13:06, Louis Dionne <ldionne at apple.com> wrote: >>> On Apr 2, 2020, at 10:19, Louis Dionne via llvm-dev <llvm-dev at lists.llvm.org> wrote: >>> >>> Okay, so we've had some discussion on this thread, and although some people

Hi, My current understanding of the problem (based on https://reviews.llvm.org/D49774) is that we have a type, file_time_type, which is part of the ABI and is currently defined as std::chrono::time_point<_FileSystemClock>, where _FileSystemClock is an internal type represented using a __int128_t. However, C++20 will add a type called file_clock and redefine file_time_type to be

Hi All, I have a parameter that is bimodal, and I want to get some sort of linear model done with it results = some.linear.function(bimodal.param ~ factor1 + some other stuff, mydata) I want to see if factor 1 matters (it has 3 levels, of of which can be taken as baseline), i.e: summary(results) Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -2.108522