similar to: MiscPsycho 1.3 posted to CRAN

I have just submitted MiscPsycho to CRAN. MiscPsycho contains functions for miscellaneous psychometrics that may be useful for applied psychometricians. MML estimation already exists in the ltm package. Hence, a jml option is provided for users who prefer this method. The jml function gives back rasch difficulties and the same Infit and Outfit statistics as Winsteps. Also, jml is known to return

I have just submitted MiscPsycho to CRAN. MiscPsycho contains functions for miscellaneous psychometrics that may be useful for applied psychometricians. MML estimation already exists in the ltm package. Hence, a jml option is provided for users who prefer this method. The jml function gives back rasch difficulties and the same Infit and Outfit statistics as Winsteps. Also, jml is known to return

A revised version of the MiscPsycho package has been uploaded to CRAN. The fixes include: 1) A bug found in the class.acc() function that resulted in overflow errors when computing probabilities associated with polytomously scored items has been resolved. The function now integrates over the posterior distribution of an IRT model for dichotomously scored items, polytomously scored items, or a

Version 1.1 of the MiscPsycho package had been uploaded to CRAN. The package has been updated to include the following: 1) The irt.ability() function that estimates examinee ability given a set of item parameters. The function is very general and can be used to estimate ability when there are only dichotomous items (1-, 2-, or 3PL), only polytomous items (generalized partial credit model), or a

Version 1.1 of the MiscPsycho package had been uploaded to CRAN. The package has been updated to include the following: 1) The irt.ability() function that estimates examinee ability given a set of item parameters. The function is very general and can be used to estimate ability when there are only dichotomous items (1-, 2-, or 3PL), only polytomous items (generalized partial credit model), or a

By the end of the day I will have a vignette completed for MiscPsycho. This vignette lays out the mathematical details for the primary functions in the package and provides substantive examples on how to use these functions in a sample session. This vignette will ultimately end up being distributed with the package itself. However, I plan to build new versions slowly. So, if you would like a copy

Hi, What package would you recommend for analyzing the validity/reliability of multiple choice tests. Doing things such as classical test analysis, factor analysis, item response theory. I've used psychometric (item.exam), MiscPsycho (alpha.Summary), and ltm (rcor.test). MiscPsycho reported the numbers most similar to what I get in SPSS: corrected point biserial correlations,

Version 1.5 of the MiscPsycho package had been uploaded to CRAN (should hit mirrors in a day or so). This package has a set of functions that may be useful for psychometric applications. The package has been updated to include the following: 1) All functions (where appropriate) now use standard formula arguments 2) All functions now use S3 print and summary methods 3) Help files have been

I'm finalizing development of a package that will include a vignette. Without the vignette, the package builds fine with no warnings and is ready for distribution. Now, I am following the directions for developing vignettes "Sweave, Part II: Package Vignettes" by Friedrich Leisch. I am using a windows XP machine (other session info below). Here is what I have done. 1) I add the

In the near future I will release MiscPsycho, a package that contains various functions useful for applied psychometricians. I would like to include some data sets for distribution in the package, but have not created any of these on my own, but have used data distributed in other packages such as the LSAT data in the ltm package. Is it appropriate for me to distribute a data set in the package I

I've been building, checking, and installing a package all day today with no errors. I have even been able to bring the package into R on my machine and use it all day doing test runs. However, now, when I run Rcmd check, I get errors. Keep in mind not one thing has changed. I haven't touched any of the functions or .Rd files, yet I get the error below at this point and the package cannot

Hi, I am very happy. My problems are solved without one little thing: (Iske <- matrix(c(1, 1, 1, 2, 2, 2, 1, 1, 1, 5, 1, 2, 2, 2, 1, 1, 1, 4, 4, 4, 4, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 5, 4, 4, 4, 4, 4, 4, 2, 2, 2, 2, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 1, 2), ncol = 5)) #My Matrix Iske<- Iske+33 #I want see the letters (Iske.char<-apply(Iske, 1, function(x) rawToChar(as.raw(x)))) #Numbers to

Dear R magic guys.. I have two tables (actually will be dataframes), both with names to be matched. The names on the first dataframe are from a study with antenatal visits on some health centers here. It happens that we need the delivery info. And half and some thing else of the women decided to delivery some where else our health units. We managed to get the names from some other places but now

Hello all, I''m in my third month of Ruby on Rails. I think it''s coming along fairly well. My current issue is this. I''m do a search based on string data some of which is very long. So I''m doing a similar match using "amatch" gem. When I have a 50% or greater match I store the id to an array. How can I do a find looping thru the array then send the

Hello all, Let me try this again with some code. I am trying to make a new object and it's not working. I get : Error in rematchDefinition(definition, fdef, mnames, fnames, signature) : methods can add arguments to the generic only if '...' is an argument to the generic as my error. I have included my code. It is from the xcms package. Any help would be great even if

Or just go Quantian and be happy: It has R and most of CRAN and BioC packages included. http://dirk.eddelbuettel.com/quantian.html Andy From: Brett Magill > > Better yet, forget reading the SUSE manual. For a user at your level > who wants to begin with Linux, but also wants a system that > "just works" > use Ubuntu. It is Debian based with the convenient apt-get

Dear Professor Revelle and R-helpers, This is a two-part question: the first part is general, and the second is specific to the psych package. First question: In the past I've constructed composite variables from questionnaire data by using rowMeans(), and then correlating items with the scale using cor() as an informal check for "bad" items. Over the weekend I decided to take a

Over the last couple of years I have written quite a few R programs for various "psychometric" techniques, and I am regularly updating and expanding what is there. I now have (wholly or partially), or have planned -- gifi package (update to homals on CRAN). Code for multiple correspondence analysis, nonlinear principal component analysis, nonlinear multiset canonical

I have started with using R on Windows, and I am really happy about the system. Now, one of my other ambitions is to learn how to use Linux, so yesterday I downloaded OpenSuse and installed that. The next problem was to try to use R with Linux. And there I met the wall. I've understood that RPM's are somewhat like installing programs on Windows, so that was downloaded and started

This may be offtopic to Rails, but what are people doing to find records based on fuzzy string matches? For example, if you wanted to find a Person with name "David Heinemeier Hansson" but searched using the string "Dave Hansson". Currently I am find_by_sql that calls the PostgreSQL function "levenshtein(string1, string2)" which returns results with a score