maple_models: Generate a list of forecasting models.

In vkontis/maple: Model averaged projections of life expectancy

Description

Generate a list of forecasting models.

Usage

maple_models(fixed.prec = 0.001, gamma.shape = 1, gamma.rate = 0.001)

Arguments

fixed.prec	The precision on the fixed effects (common intercept and slope) normal priors.
gamma.shape	The shape parameter for the loggamma prior on the random effects. See ?INLA::inla.models for more details.
gamma.rate	The rate (inverse scale) parameter for the loggamma prior on the random effects. See ?INLA::inla.models for more details.

Value

A list of forecasting models. Each model is a list with the following entries

name

A short name to identify the model.

desc

A description of the model.

fml

(only for models fitted in INLA) The formula passed to INLA when running the model.

likelihood.weight.rate

(only for weighted likelihood models) The rate used when calculating the likelihood weights. See ?calc_likelihood_weights for more details.

num.pcs

(only for Lee-Carter models) The number of principal components.

Examples

maple_models()[c(1, 20)]
maple_models(fixed.prec = 1e-5, gamma.shape = .1, gamma.rate = .1)

vkontis/maple documentation built on July 15, 2019, 5:08 p.m.