table_model_averaging: Build the table of the results of the model averaging across...

In courtiol/SileR: Survival Analysis of Elephants Using an Extension of the William Siler's Framework

Description

This is a main function of this package. It performs the model averaging.

Usage

table_model_averaging(models_list, models_list_boot, save_xlsx = FALSE)

Arguments

models_list	The list of fitted models
models_list_boot	The list of fitted models after bootstrap
save_xlsx	A boolean indicating whether saving the table as a *.xlsx document or not

Details

To compute averaged parameter estimates, we used the so-called "shrinkage estimator". That is, the parameter estimates from all models are being considered and parameters that were not estimated are considered to be equal to zero.

To compute the confidence intervals, we used the approximation [pnorm(0.025)*SE; pnorm(0.975)*SE].

To compute the standard error, we used equation 5 in Lukacs et al. 2010 (see References).

We indicated estimates higher than 1e-5 by a star stored in the last column of the table.

Value

A data.frame storing the output of the model average.

References

Lukacs, Burnham & Anderson (2010). Model selection bias and Freedman’s paradox. Ann. Inst. Stat. Math. 62:117–125

See Also

boot_all_models, table_boot, list_tables_boot, table_SE

Examples

table_model_averaging(models_list = Models,
                      models_list_boot = Models_boot)

courtiol/SileR documentation built on May 16, 2020, 8:10 p.m.