Description Usage Arguments Details Value Author(s) Examples
Comparison of continuous ordinal models using likelihood ratio tests.
1 2 |
object |
an object of class |
... |
one or more additional |
Likelihood ratio testing of nested models is performed.
The method returns an object of class anova.ocm
and data.frame
, reporting for each model, in hierarchical order:
no.par |
number of parameters |
AIC |
Akaike information criterion |
loglik |
log-likelihood |
LR.stat |
likelihood ratio statistic |
df |
difference in the degrees of freedom in the models being compared |
Pr(>Chisq) |
p-value from the likelihood ratio test |
Maurizio Manuguerra, Gillian Heller
@seealso ocm
, print.anova.ocm
1 2 3 4 5 |
Loading required package: boot
Loading required package: splines
Ext.iters Int.iters lambda Convergence (<0.01)
1 122 3.624415e-05 1
2 68 0.0001081574 1.9841
3 28 0.0002661319 1.4606
4 20 0.0004563513 0.7148
5 21 0.000615229 0.3481
6 18 0.0007260145 0.1801
7 13 0.0007956493 0.0959
8 9 0.0008370342 0.052
9 6 0.0008607871 0.0284
10 4 0.0008744701 0.0159
11 3 0.0008831887 0.01
Ext.iters Int.iters lambda Convergence (<0.01)
1 122 3.622746e-05 1
2 68 0.0001080966 1.9838
3 28 0.0002660217 1.461
4 20 0.0004562487 0.7151
5 21 0.0006151645 0.3483
6 18 0.0007259948 0.1802
7 13 0.0007956677 0.096
8 9 0.0008370805 0.052
9 6 0.000860852 0.0284
10 4 0.0008745468 0.0159
11 3 0.0008832735 0.01
16.94854 17.94776
1 2
[Penalized] likelihood ratio tests of ordinal regression models for continuous scales:
formula link
Model 1: overall ~ cycleno + bsa + treatment logit
Model 2: overall ~ cycleno + bsa + treatment + age logit
edf AIC penlogLik LR.stat df Pr(>Chisq)
Model 1: 16.949 -44.885 33.476
Model 2: 17.948 -42.896 33.481 0.0095 0.99922 0.922
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