search for: erm

I'm trying to kick off some of the rust and learn some of the R packages for Rasch modeling. When I tried using the eRm package, I get item difficulty estimates for all my items accept the first (in terms of order) item. #Begin code library(eRm) r.simulation <- sim.rasch(20,100) r.data <- r.simulation$items #eRm results erm.rasch <- RM(r.data) names(erm.rasch) erm.items <- erm.rasch$etapar erm.i...

Dear R-List, I tried to fit a partial credit model using the "pcmdat" from eRm-package comparing the results of mirt, eRm, ltm and winsteps. The results where quite different, though. I cannot figure out what went wrong and I do not know which result I can rely on. This is what I did in R library(mirt) #load(file="u3.RData") mirt<-mirt(as.data.frame(pcmdat),1...

Hi, I am running the non-parametric rasch model tests using eRm. I have a reasonably large dataset for this type of exercise (110 items, 248 persons). I run: > allb2=as.matrix(allb) > rsample <- rsampler(allb2, ctr) > t102<-NPtest(rsample, method="T10") #global test, subgroup inv and receive error message as follows. "Error in m...

Dear R Users, I am using the LLTM and the LRSM functions in the eRm package to do repeated measurements where there are 2 measurement points for a list of 10 items. I am trying to get ability estimates but am having trouble. I don't think that it is appropriate to use the pmat function since the person parameters are based on all 20 items. Rather, I think it...

When I try to create a Rasch simulation of data using the sim.rasch function, I get more items than I intend #My code library(eRm) #Number of items k <- 20 #Number of participants n <- 100 #Create Rasch Data #sim.rasch(persons, items, seed = NULL, cutpoint = "randomized") r.simulation <- sim.rasch(n,k) I end up with 20 participants and 100 items, but the instructions say otherwise (and I believe I hav...

...ps = c(rep.int(1, nrow(X))) W = matrix(data=NA, nrow=ncol(X), ncol=ncol(X)) for(i in 1:(ncol(X) - 8)) { vec = c(rep(0, i - 1),1,rep(0, (ncol(X) - i))) W[i,] = vec } results.LRSM <- LRSM(X, W, mpoints = 1, groupvec = rGrps, se = TRUE) Both of these errors seem to arise somewhere within the eRm code, and I have had great difficulty finding specifically where. I am using R Studio, but I do not seem to be able to figure out the debugging, particularly when I need it to go into eRm package files. So basically, if I could get a few points of help, I would appreciate it: 1. How do I create...

Dear useRs, new and updated features in eRm 0.9-6 for extended Rasch modeling: - infit and outfit mean-square statistics added to functions personfit() and itemfit(). - new method: plotPImap() plots a person-item map (cf. Bond & Fox, 2007), i.e., a map of locations of item (and threshold) parameters, and the distribution of person p...

Dear useRs, new and updated features in eRm 0.9-6 for extended Rasch modeling: - infit and outfit mean-square statistics added to functions personfit() and itemfit(). - new method: plotPImap() plots a person-item map (cf. Bond & Fox, 2007), i.e., a map of locations of item (and threshold) parameters, and the distribution of person p...

Hello all, I have just started using fitting the PCM (Partial Credit Model) using eRm and have 2 problems which I cannot solve, I have checked everywhere on the net, but no joy: Firstly, I have fit a PCM model to 10 variables with differing response categories (3 for the first 6 items, 4 for the following 2 and 2 for the last two items). mat1 <- matrix(c(rasch_bart$bart_bow...

Hey people, I''m starting a new project and just finished creating the ERM diagram with about 30 tables. There are quite some tables with foreign keys so I''m not sure how to start creating the controllers/models. How should I start creating controllers/models? Should I first create all tables without foreign key? Should I just start somewhere and add them radomly...

...1.5.0 respectively) and the problem persists. The guest OS is also a Debian 7 system running a non-SMP kernel. The error message from virt-manager is Error starting domain: unsupported configuration: guest and host CPU are not compatible: Host CPU does not provide required features: rtm, invpcid, erms, bmi2, smep, avx2, hle, bmi1, fsgsbase, pcid Traceback (most recent call last): File "/usr/share/virt-manager/virtManager/asyncjob.py", line 45, in cb_wrapper callback(asyncjob, *args, **kwargs) File "/usr/share/virt-manager/virtManager/asyncjob.py", line 66, in tmpcb...

...roblem persists. The > guest OS is also a Debian 7 system running a non-SMP kernel. The error > message from virt-manager is > > Error starting domain: unsupported configuration: guest and host CPU are > not compatible: Host CPU does not provide required features: rtm, invpcid, > erms, bmi2, smep, avx2, hle, bmi1, fsgsbase, pcid > > Traceback (most recent call last): > File "/usr/share/virt-manager/virtManager/asyncjob.py", line 45, in > cb_wrapper > callback(asyncjob, *args, **kwargs) > File "/usr/share/virt-manager/virtManager/asyncjo...

...lm constant_tsc arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc aperfmperf eagerfpu pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 fma cx16 xtpr pdcm pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm ida arat epb xsaveopt pln pts dtherm tpr_shadow vnmi flexpriority ept vpid fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm bogomips : 6795.58 clflush size : 64 cache_alignment : 64 address sizes : 39 bits physical, 48 bits virtual power management: processor : 1 vendor_id : GenuineIntel cpu family : 6 model : 60 model na...

...?t <- 243 ? ?tx <- t-59 ? ?#L?nge Regression ? ?reglist <- list() ? ?for (i in 1:tx){ ? ?j <- i+59 ? ?#RegressionsVariable ? ?x = residual[i:j,a] ? ?rm = residual[i:j,12] ? ?smb = residual[i:j,13] ? ?hml = residual[i:j,14] ? ?rf = residual[i:j,15] ? ?#?berschussrenditen ? ?ex=x-rf ? ?erm=rm-rf ? ?#Regression ? ?reg <- lm(ex~erm+smb+hml) ? ?reglist[[i]] <- coef(reg) ? ? #Berechnung Residuum ? ?? ?#Residual Berechnung ? ?? ?rx = residual[(j-5):j,a] ? ?? ?rrm = residual[(j-5):j,12] ? ?? ?rsmb = residual[(j-5):j,13] ? ?? ?rhml = residual[(j-5):j,14] ? ?? ?rrf = residual[(j-5):j...

...e that still Guest cpu model is not changed and still same as host cpu model(SAndy Bridge) Why don't i see the model as HAswell now , could you please comment. Command used : virt-install --virt-type kvm --name controller-0 --cpu Haswell-noTSX,+fma,+movbe,+fsgsbase,+bmi1,+avx2,+smep,+bmi2,+erms,+invpcid --ram=8120 --vcpus=4,sockets=1 Linux process for KVM : 7479 1 37 10:13 ? 01:13:21 /usr/libexec/qemu-kvm -name controller-0 -S -machine pc-i440fx-rhel7.0.0,accel=kvm,usb=off *-cpu SandyBridge,*+fma,+pcid,+movbe,+fsgsbase,+bmi1,+avx2,+smep,+bmi2,+erms,+invpcid -m 8120 -realtime...

...l nx pdpe1gb rdtscp lm constant_tsc arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc aperfmperf eagerfpu pni pclmulqdq dtes64 monitor ds_cpl vmx est tm2 ssse3 fma cx16 xtpr pdcm pcid sse4_1 sse4_2 movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm ida arat epb pln pts dtherm tpr_shadow vnmi flexpriority ept vpid fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid xsaveopt flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon pebs bts rep_go...

...y <- gsub(x[i],"something else",y) } Surely, there must be a less kludgy way? I tried looking at the different apply()s but am not getting anywhere, partly because I lack the mental flexibility to combine the fact that I am applying gsub() to y but now want to apply that to x ... erm. :/ Marianne -- Marianne Promberger PhD, King's College London http://promberger.info R version 2.10.1 (2009-12-14) Ubuntu 9.10

> > > module_path = LLVMCreateMemoryBufferWithMemoryRange(path, > strlen(path), "path", 1); > LLVMCreateMemoryBufferWithContentsOfFile takes a path. Erm...no...the code is calling LLVMCreateMemoryBufferWithMemoryRange, not LLVMCreateMemoryBufferWithContentsOfFile... Or do you mean I need to load the module into memory before calling LLVMGetBitcodeModuleInContext2? Toshi On Wed, Mar 8, 2017 at 3:40 PM, Friedman, Eli <efriedma at codeaurora.or...

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Dear all, I'm working on ability estimates using Rasch model. Using the "ltm" package, the procedure is quite simple: ## Factor Scores for the Rasch model fit <- rasch(LSAT) factor.scores(fit) What about Partial Credit Model (PCM)? For PCM I use PCM function from eRm package. Is there any similar function like factor.scores to estimate ability scores using PCM model? Best, Andrej