logit2lrm: Convert results of logistic regression from glm() to lrm()

Description Usage Arguments Value Examples

View source: R/logit.lrm.R

Description

Convert results of logistic regression from glm() in 'stats' package to lrm() in 'rms' package.

Usage

1
logit2lrm(fit)

Arguments

fit

logistic regression reults of glm()

Value

results of lrm()

Examples

1
2
fit <- glm(vs~mpg+cyl,data=mtcars, family = binomial(link = 'logit'))
logit2lrm(fit)

Example output

Logistic Regression Model
 
 lrm(formula = vs ~ mpg + cyl, data = mtcars, model = TRUE, x = TRUE, 
     y = TRUE)
 
                        Model Likelihood    Discrimination    Rank Discrim.    
                              Ratio Test           Indexes          Indexes    
 Obs            32    LR chi2      26.37    R2       0.752    C       0.952    
  0             18    d.f.             2    g        3.468    Dxy     0.905    
  1             14    Pr(> chi2) <0.0001    gr      32.067    gamma   0.905    
 max |deriv| 4e-08                          gp       0.456    tau-a   0.460    
                                            Brier    0.081                     
 
           Coef    S.E.    Wald Z Pr(>|Z|)
 Intercept 15.9714 11.0225  1.45  0.1473  
 mpg       -0.1633  0.2399 -0.68  0.4961  
 cyl       -2.1482  1.0811 -1.99  0.0469  
 

base.rms documentation built on Aug. 1, 2020, 5:06 p.m.