similar to: item characteristic curves (logistic regression w. constant)

Good day Sir/Ma'am! This is Alyssa Fatmah S. Mastura taking up Master of Science in Statistics at Mindanao State University-Iligan Institute Technology (MSU-IIT), Philippines. I am currently working on my master's thesis titled "Comparing the Three Estimation Methods for the Four Parametric Logistic (4PL) Item Response Model". While I am looking for a package about Markov chain

I know of no existing functions for estimating the parameters of this model using MCMC or MML. Many years ago, I wrote code to estimate this model using marginal maximum likelihood. I wrote this based on the using nlminb and gauss-hermite quadrature points from statmod. I could not find that code to share with you, but I do have code for estimating the 3PL in this way and you could modify the

Dear all, I am trying to calculate a score for a string sequence consisting of the following four letters: ACGT. I have got a matrix giving the scores for each pair of letters. So for example the string ACCT has got the pairs: AC, CC and CT. The matrix has got the following form: names<-c("A","C","G","T"); mscore<-matrix(0,4,4);

I seriously doubt that you are running the code I sent. What you have probably done is to run your data, which has a different date format, without changing the breaks or the date format arguments. As you haven't provided any example that shows what you are doing, I can't guess what the problem is. Jim On Mon, Oct 9, 2017 at 9:40 PM, Hemant Sain <hemantsain55 at gmail.com> wrote:

Hello Jim, i have converted all my variable data type according to your attached example including date, and my dataset looks like this. ID purchase date 1234 10.2 2017-02-18 3453 18.9 2017-03-22 7689 8 2017-03-24 but when I'm passing the data

Hi Hemant, Here is an example that might answer your questions. Please don't run previous code as it might not work. I define the break values as arguments to the function (rbreaks,fbreaks,mbreaks) If you want the breaks to work, make sure that they cover the range of the input values, otherwise you get NAs. # expects a three (or more) column data frame where # column 1 is customer ID,

I am writing several webpages using the brew package and R2HTML. I would like to work off one script so I am using nested brew calls. The documentation for brew states that: "NOTE: brew calls can be nested and rely on placing a function named ?.brew.cat? in the environment in which it is passed. Each time brew is called, a check for the existence of this function is made. If it exists,

Dear all Is there an equivalent of "R CMD Sweave" for brew [1] documents? Something in the lines of "R CMD brew"? Can R be configured to parse brew documents from the commandline, without opening an interactive R session and issuing the following? require(brew) brew("featurefull.brew") I would like to set a LyX converter for brew documents, and for this I'd need

Dear Colleagues, Apologies for a long email to ask what I feel may be a very simple question; I figure it's better to overspecify my situation. I was asked a question, recently, by a colleague in my department about pre-aggregating variables, i.e., computing the mean of defined subsets of a data frame. Naturally, I thought of the 'by' and 'tapply' functions, as

I'm getting all the rows as NA in Cscore and almost most of the observation in R and F and M are also NA. what can be the reason for this. also suggest me the appropriate solution. On 9 October 2017 at 15:51, Jim Lemon <drjimlemon at gmail.com> wrote: > Hi Hemant, > Here is an example that might answer your questions. Please don't run > previous code as it might not work.

On Thu, 1 Jun 2017, POLWART, Calum (COUNTY DURHAM AND DARLINGTON NHS FOUNDATION TRUST) via R-help wrote: > Before I go and do this another way - can I check if anyone has a way of > looping through data in odfWeave (or possibly sweave) to do a repeating > analysis on subsets of data? > > For simplicity lets use mtcars dataset in R to explain. Dataset looks like this: >

Hey Folks, It seems that Homebrew for some reason arbitrarily decided to banish all of the --devel flavors from all of their installable packages.  I couldn't find any discussion as to why or what they intend to replace the function with. **update;  this is where they decided to do this; https://github.com/Homebrew/brew/pull/5060#issuecomment-428149176 But in the meantime, 1.1pre17 is

I''m working on Michael Hartl''s ruby on rails tutorial http://ruby.railstutorial.org/ruby-on-rails-tutorial-book#sec-development_tools . I installed Git, updated my OS to 10.8.2 and downloaded XCode 4.5.2. when I type in rvm install 1.9.3 this long thing comes up... Ruby (and needed base gems) for your selection will be installed shortly. Before it happens, please read and

Dear R-Experts, I was wondering how to fit a cumulative gaussian to a set of empirical data using R. On the R website as well as in the mail archives, I found a lot of help on how to fit a normal density function to empirical data, but unfortunately no advice on how to obtain reasonable estimates of m and sd for a gaussian ogive function. Specifically, I have data from a psychometric function

Dear, I am trying to visualise a time-progressing line (it's supposed to represent spread patterns) using brew package and Google Earth. The idea is to have a function which takes start and end point geographic coordinates, as well as number of intervals to chop the path up, and returns the collection of points segmenting this line. Unfortunately my calculations fail for large distances,

Dear R-helpers: I want to calculate area under a Receiver Operator Characteristic curve. Where can I find related functions? Thank you in advance Xiao

Motivated by the discovery of 'loglet analysis' (http://phe.rockefeller.edu/LogletLab/) that allows one to decompose growth curves into a series of logistic equations, I attempted to do the same thing in R. SIMULATED DATA Time <- 1:200 pop.size <- SSlogis(Time,10,20,5) + SSlogis(Time,20,100,20) + rnorm(length(Time)) MY ANALYSIS results <- nls(size ~ SSlogis(Time, Asym1, xmid1,

Dear list, Apologies, I have sent this message before but received no replies so I'm trying again just in case... Motivated by the discovery of 'loglet analysis' (http://phe.rockefeller.edu/LogletLab/) that allows decomposition of growth curves into a series of logistic equations, I attempted to do the same thing in R. #SIMULATED DATA Time <- 1:200 pop.size <-

Hello all, I have exhausted my research and need a little help with some basic concepts. First time configuration working with NUT and putting into a OS X environment. Was able to install the package using Brew. Have read the documentation and have been able to get the server running and agent running using MACOSX-UPS driver and connect to UPS via USB. I would however like to integrate a TrippLite

Sadly I really can’t help you debug the home-brew build, it is a good ways outside my expertise. If you want to try building from source using the guide here: http://llvm.org/docs/GettingStarted.html#getting-started-quickly-a-summary <http://llvm.org/docs/GettingStarted.html#getting-started-quickly-a-summary> I’d be more helpful. As it is, the patch you proposed doesn’t seem to make it