similar to: help for multinominal logistic regression code

Dear everybody! Are there algorithms for multinominal logit/probit available for R? Is it my fault that I cannot find these in CRAN? Has somebody programmed these? with best wishes Ott Toomet Ott.Toomet at mail.ee -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info",

I use mnp to run a multinominal probit regression model, but the summary doesn't contain the model statistics, such as the log-likelihood and degree of freedom, for the assessment of the goodness-of-fit of the fitted model. Is there any way that I can generate these statistics for the fitted model in R? Many thanks in advance! SC

Dear all, Are there some other clusters algorithms suitable for multinominal data (except DAISY) available for R? Thanks Michal --- Odchozí zpráva neobsahuje viry. Zkontrolováno antivirovým systémem AVG (http://www.grisoft.cz). Verze: 6.0.543 / Virová báze: 337 - datum vydání: 21.11.2003 [[alternative HTML version deleted]]

Dear useRs, Please find the new package mFilter version 0.1-2 on CRAN. The package implements several time series filters useful for smoothing and extracting trend and cyclical components of a time series. The routines are commonly used in economics and finance, however they should also be interest to other areas. Currently, Christiano-Fitzgerald, Baxter-King, Hodrick-Prescott, Butterworth, and

Hi, I want to perform goodness of fit test for multinominal distribution. The easiest way would be to use Chi2, but the measurment errors are not normally distributed. I thought about using some bootstraping method to perform the analysis. How can I do it in R? Tomek -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

I'm trying to fit a multinominal logistic model using package mlogit. I have 15 independent variables. The code looks like this: m<-mlogit(score~0|f1+f2+f3+f4+f5+f6+f7+f8+f9+f10+f11+f12+f13+f14+f15, data, reflevel="1") And it gives the following error message: Error in parse(text = x) : unexpected ')' in "score ~ 0 + alt:(f1 + f2 + f3 + f4 + f5 + f6 + f7 + f8 + f9

Gracias Carlos. Hasta donde yo entiendo si las hay: El argumento family puede ser: "gaussian" (for minimizing squared error); por lo que tiene que ser numérica "bernoulli" (logistic regression for 0-1 out-comes); binaria por narices "poisson" (count outcomes; requires the response to be a positive integer); numérica también, pues. La única podría ser

dear professor: I am a doctor of urinary,and I am developing a nomogram of bladder tumor.Now I have a problem about this. I have got the result like this through analysing the dataset "exp11.sav" through multinominal logistic regression by SPSS 17.0.(the Sig. is high,that is good ,it is just aexperimental data ) Parameter Estimates Ya B Std. Error Wald df Sig. Exp(B) 95%

Hola erreros, ¿sabéis si gbm.step puede usarse para clasificación no binaria? Gracias -- Dr Manuel Mendoza Department of Biogeography and Global Change National Museum of Natural History (MNCN) Spanish Scientific Council (CSIC) C/ Serrano 115bis, 28006 MADRID Spain

Gracias Carlos, mi idea es construir un cono, un cilindro u otros cuerpos geométrico y luego graficarlos. Alguna idea de como empezar? Muchas gracias como siempre El lun., 19 de feb. de 2018 15:06, <r-help-es-request en r-project.org> escribió: > Envíe los mensajes para la lista R-help-es a > r-help-es en r-project.org > > Para subscribirse o anular su subscripción a

dear professor: I have a problem about the nomogram.I have got the result through analysing the dataset "exp2.sav" through multinominal logistic regression by SPSS 17.0. and I want to deveop the nomogram through R-Projject,just like this : > n<-100 > set.seed(10) > T.Grade<-factor(0:3,labels=c("G0", "G1", "G2","G3")) >

Hola de nuevo. Se me olvidaba la principal razón para utilizar gbm.step del paquete dismo. Como sabéis, los boosted si sobreajustan (a diferencia de los random forest o cualquier otro bootstrap) pero gbm.step hace validación cruzada para determinar el nº óptimo de árboles y evitarlo. Es fundamental. La opción que me queda, Carlos, es hacerlo con gbm, pero muchas veces, y usar el

On two lists of data (in a matrix perhaps?) And may i also know where I can find the complete documentation of how to use all the functions in R? Thank you for your help! _________________________________________________________________ -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html

heya i've been using freebsd's ipfw for quite a while and recently on a new server i've got this issue with ipfw that i can't understand ... something is wrong ... 01000 8042 1947866 allow ip from any to any via fxp0 01010 0 0 allow ip from any to any via lo0 01014 9886 4170269 divert 8668 ip from any to any in via vr0 01015 0 0 check-state 01130 14679 5695969 skipto 1800 ip from