cvmf_object | R Documentation |
This class of objects is returned by the cvmf
function to test between the partial likelihood maximization (PLM) and the iteratively reweighted robust (IRR) method of estimation for a given application of the Cox model.
The following components must be included in a legitimate cvmf
object.
best |
name of the model of estimation favored by the cvmf test. |
p |
p-value of the binomial test used to test between estimation models. |
cvmf |
full output of the binomial test used to test between estimation methods. See documentation for |
coef_names |
names of the coefficients. |
irr |
full output for the iteratively reweighted robust (IRR) method of estimating the Cox model. See documentation for |
plm |
full output for the partial likelihood maximization (PLM) method of estimating the Cox model. See documentation for |
irr_coefs |
estimates obtained from IRR method of estimating the Cox model. See documentation for |
plm_coefs |
estimates obtained from PLM method of estimating the Cox model. See documentation for |
cvpl_irr |
observation-wise contributions to the log-partial likelihood for IRR method of estimating the Cox model. See Desmarais and Hardin (Political Analysis 20:113-135, 2012) for more about the test and Verweij and Houwelingen (Statistics in Medicine 12(24): 2305–14, 1993) for more about the measure |
cvpl_plm |
observation-wise contributions to the log-partial likelihood for PLM method of estimating the Cox model. See Desmarais and Hardin (Political Analysis 20:113-135, 2012) for more about the test and Verweij and Houwelingen (Statistics in Medicine 12(24): 2305–14, 1993) for more about the measure |
The object also contain the following: call
, x
, and y
.
cvmf
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