predict_avg: Predict mortality using model averaging

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

Description

This function is called internally by other functions. It predicts the mortality rate (per year) of elephants based on a covariate information provided as a data frame and based on a list of models used to compute the parameter estimates by model averaging.

Usage

predict_avg(models_list, newdata)

Arguments

models_list	The list of fitted models
newdata	A data frame providing the covariate values for predictions

Value

A vector with the mortality prediction(s).

Examples

d <- data.frame(Sex = "males", CaptureMethod = "STOCKAGE",
                CaptureAge = 20, Age = 30, TimeSinceCapture = 10,
                Region = "Kachin", BirthCohort = "2000")
predict_avg(models_list = Models, newdata = d)

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