Displaying 6 results from an estimated 6 matches for "polychotomous".
2000 Mar 20
3
: multinom()
Dear R users,
Does anyone know if it is possible to use multinom to do a polychotomous
fit using one categorical and one numeric variable as response. The
doc. for multinom states that for formula , response can be K>2 classes.
Is this 2 and more, or as I have understood it only greater than 2. I
have tried fitting my data, but have only encountered error messages.
On another no...
2002 Sep 27
2
Polymars
I've seen references to "polymars", an R implementation of Friedman's MARS
algorithm. Can anyone tell me where I might be able to find this (doesn't
seem to be in the contributed packages.
Thanks,
David
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1998 May 22
0
R-beta: R-0.61.3 for Win95/NT available
...ry Data Analysis
gee Generalized Estimating Equation models
integrate numerical integration
leaps Regression subset selection
locfit Local Regression, Likelihood and Density Estimtion.
mva Classical Multivariate Analysis
polymars (polychotomous) regression based on
Multivariate Adaptive Regression Splines
polynom A collection of functions to implement a class for
univariate polynomial manipulations
spatial functions for kriging and point pattern analysis
splines Regression Spline Funct...
1998 May 22
0
R-beta: R-0.61.3 for Win95/NT available
...ry Data Analysis
gee Generalized Estimating Equation models
integrate numerical integration
leaps Regression subset selection
locfit Local Regression, Likelihood and Density Estimtion.
mva Classical Multivariate Analysis
polymars (polychotomous) regression based on
Multivariate Adaptive Regression Splines
polynom A collection of functions to implement a class for
univariate polynomial manipulations
spatial functions for kriging and point pattern analysis
splines Regression Spline Funct...
2006 Dec 21
1
multinom(nnet) analogy for biglm package?
...ill trying things out on smaller sets.)
What should I do?
1. I recall some discussion from August 2006 about the use of the biglm
package. (Subject: lean and mean lm/glm?) This seems potentially very
useful, but it's not clear to me how to fit a multinomial response. Can
I get bigglm to fit polychotomous data?
2. Earlier, I thought I ran across an example (perhaps in V&R's MASS4 or
Harrell's Regression Modeling Strategies) showing how to use glm and an
appropriate family specification to perform a multinomial logistic
regression, but now I cannot find the example. This is what had to...
2004 Aug 17
2
Re: Thanks Frank, setting graph parameters, and why social scientists don't use R
...n be very offputting, and could lead the rabbit to return to familiar SPSS territory.
Finally, friendlier error messages would also help. It took me 3 days, and opening every function I could, to work out that '...cannot find function xxx.data.frame...' meant that MICE was unable to make a polychotomous logistic imputation model converge for the variable immediately preceding it.
I am now off to the help files and FAQs to find out how to change graph parameters, as the plot.mids function in MICE a) doesn't allow one to select a subset of variables, and b) tells me that the graph it wants to...