Here Lp varies from L0 to 0 and R2M varies between zero and one. This quantity has been proposed for use in logistic regression. Unfortunately, when R2L (the R2 for logistic regression) is calculated using the above formula, it does not necessarily range between zero and one. This is ...
GAM multinomial logistic regressionSimon N. Wood
There are also R packages which estimate plain (unregularized) multinomial regression mod- els. Some examples are: the VGAM package (Yee 2010), the multinom function in package nnet (Venables and Ripley 2002) and package the mlogit (Croissant 2012). ...
where variable –which take three levels – is splitted in three indicators (like any categorical explanatory variables in standard regression model). The code to estimate that model is simply > library(nnet) > reg=multinom(z~x+y,data=df) # weights: 12 (6 variable) initial value 10.986123 ...
Computes coefficients powers for a multinomial expansion of the form (a_1+...+a_M)^NUsage: [c, p] = multinom(M,N)Damith Senaratne... D Senaratne 被引量: 0发表: 0年 The power of a prime that divides a generalized binomial coefficient. The highest power to which a given prime ...
Multinomial logistic regression on spatial objectsBas KempenTomislav Hengl
Combine Model-based Recursive Partitioning with Multinomial Logistic Regression