similar to: get NA from outlier{randomForest}

Displaying 5 results from an estimated 5 matches similar to: "get NA from outlier{randomForest}"

2006 Feb 21
2
building in AIXV5.3 using the IBM C for AIX compiler V6.0
What fun. I don't often stoke up the boiler and actually compile open-source code, but here I am at the beginning of just such a joyous and wondrous adventure. I'm running the latest level of AIX (V5.3...V4.3 has been obsolete for at least, what, 5 years) and using the IBM compiler (xlc is similarly obsolete, from back when the compiler came with the O/S...oh, for the halcyon days of
2008 Aug 12
0
KS Test for Mixture of Distributions
Hi all, How can we use ks.test() to evaluate goodness of fit of mixtures of distributions? For example I have the following dataset: > x [1] 176.1 176.8 259.6 171.6 90.0 234.3 145.7 113.7 105.9 176.2 168.9 136.1 [13] 109.2 110.3 164.3 117.7 131.3 163.7 200.4 196.4 196.2 168.6 190.4 127.5 [25] 136.0 114.2 112.0 91.9 333.4 295.5 172.0 293.3 91.7 289.7 118.8 55.1 [37] 161.9 233.9 197.7
2007 May 11
0
BDC keeps taking over and not allowing logins from NT PDC
Hello, thanks for looking over my ramblings... We have an NT4 PDC with and NT4 BDC on 192.168.132.X, these boxes are very very old and overloaded. I am trying to replace them with a nice shinny new Samba box. My problem is that while I am trying to test it out to make sure it plays nice it keeps winning the elections. I find this weird as I have set the box to domain master = no and turned the
2005 Jul 27
2
logistic regression: categorical value, and multinomial
I have two questions: 1. If I want to do a binomial logit, how to handle the categorical response variable? Data for the response variables are not numerical, but text. 2. What if I want to do a multinomial logit, still with categorical response variable? The variable has 5 non-numerical response levels, I have to do it with a multinomial logit. Any input is highly appreciated! Thanks! Ed
2011 Nov 11
2
Estimating IRT models by using nlme() function
Hi, I have a question about estimating IRT models by using nlme, not just rasch model, but also other models. Behavior Research Methods <http://www.springerlink.com/content/1554-351x/> Volume 37, Number 2 <http://www.springerlink.com/content/1554-351x/37/2/>, 202-218, DOI: 10.3758/BF03192688 Using SAS PROC NLMIXED to fit item response theory models (2005). Ching-Fan