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Hi, R developers. when running mle inside a loop I found a nasty behavior. From time to time, my model had a degenerate minimum and the loop just crashed. I tracked it down to "vcov <- if (length(coef)) solve(oout$hessian)" line, being the hessian singular. Note that the minimum reached was good, it just did not make sense to calculate the covariance matrix as the inverse of a

Hi List I have data in the following form: Gene    TFBS NUDC     PPARA(1) HNF4(20) HNF4(96) AHRARNT(104) CACBINDINGPROTEIN(149) T3R(167) HLF(191) RPA2     STAT4(57) HEB(251) TAF12     PAX3(53) YY1(92) BRCA(99) GLI(101) EIF3I     NERF(10) P300(10) TRAPPC3     HIC1(3) PAX5(17) PAX5(110) NRF1(119) HIC1(122) TRAPPC3     EGR(26) ZNF219(27) SP3(32) EGR(32) NFKAPPAB65(89) NFKAPPAB(89) RFX(121) ZTA(168) NDUFS5     WHN(14) ATF(57) EGR3(59) PAX5(99) SF1(108) NR...

Hi Irucka, I tried it and was able to plot it without any errors.? Here, your code indicates you need two lines. temper[[i]][1] ?temper[[1]][1] # which is the column 1. ? Month 1???? 1 2???? 2 3???? 3 ?temper[[1]][2] #? Data1 #1?? 1.5 #2? 12.3 #3? 11.4 Suppose I use names(temper) instead of seq_along(temper) pdf("irucka.pdf") ?lapply(names(temper),function(i)

Hi the list, I am experiencing several issues with profile.mle (and consequently with confint.mle) (stat4 version 2.9.2), and I have to spend a lot of time to find workarounds to what looks like interface bugs. I would be glad to get feedback from experienced users to know if I am really asking too much or if there is room for improvement. * Problem #1 with fixed parameters. I can't manage to g...

Minitab can perform a "Parametric Distribution Analysis - Arbitrary Censoring" with one of eight distributions (e.g., weibull), giving the maximum likelihood estimates of the parameters in the distribution for a given dataset. Does R have a package that provides equivalent functionality? Thanks for any advice you can offer. Tom La Bone [[alternative HTML version deleted]]

...the errors. I am interested to learn and apply the FIML method of estimation. I searched R resources in internet but I could not get the materials specific to address my following questions. I request R experts/ users to address the following queries. Q.1. hick package of R (e.g. lavaan, mvnmle , stat4 and sem) is appropriate to analyse the multivariate sample selection problem by using FIML estimation method? Q.2. How should it be formulated the code to execute the FIML method ? Q.3. what is the right method similar to log likelihood ratio to determine variables stability in the model? Q.4. M...