Hi,

I am using **rms R-package** for a Binary Logistic Regression.

Is it possible to get *Logit Rank Plot* explained by J.Copas in rms?

**Definition of Logit Rank Plot:**

Logit Rank Plot has been introduced by j.Copas in his paper “The effectiveness of risk scores: the logit rank plot”. It is an alternative way to assess the discimination power of a a fitted logistic regession model.

As described in the paper the *Logit Rank Plot* is the plot of

logit(p)=log{p/(1-p)}

agaist

logit(F(s)=log(F(s)/(1-Fs)

where logit(F(s)=r is the proportional rank of s in a sample or population; where **s** is the risk score for the event E= “default or not default”

The logit rank plot provides a curve; the steeper is this curve, the greater the degree of discrimination between high and low risk cases.

*"The logit rank plot gives a complete description of the joint distribution of s and the binary*

*outcome E/E, up to an arbitrary monotonic transformation of s. The ROC curve, by con-*

*trast, only describes the conditional distributions of s given E and E, again up to a monotonic*

*transformation of s. The ROC curve can be reconstructed from the logit rank plot but not*

*vice versa*."