Create a collection of candidate models for stacking

Creates an object of class 'candidateModels' that contains a list of candidate models for stacking. The function takes a list of candidate values for each model parameter and returns a list of possible combinations of these values based on either simple aggregation or Cartesian product of indivdual candidate values.

Usage

candidateModels(params_list, aggregation = "simple")

Arguments

params_list

a list of candidate values for each model parameter. See examples for details.

aggregation

a character string specifying the type of aggregation to be used. Options are 'simple' and 'cartesian'. Default is 'simple'.

Value

an object of class 'candidateModels'

See also

stvcGLMstack()

Author

Soumyakanti Pan span18@ucla.edu,
Sudipto Banerjee sudipto@ucla.edu

Examples

m1 <- candidateModels(list(phi_s = c(1, 1), phi_t = c(1, 2)), "simple")
m1
#> [[1]]
#> [[1]]$phi_s
#> [1] 1
#> 
#> [[1]]$phi_t
#> [1] 1
#> 
#> 
#> [[2]]
#> [[2]]$phi_s
#> [1] 1
#> 
#> [[2]]$phi_t
#> [1] 2
#> 
#> 
#> attr(,"class")
#> [1] "candidateModels"
m2 <- candidateModels(list(phi_s = c(1, 1), phi_t = c(1, 2)), "cartesian")
m2
#> [[1]]
#> [[1]]$phi_s
#> [1] 1
#> 
#> [[1]]$phi_t
#> [1] 1
#> 
#> 
#> [[2]]
#> [[2]]$phi_s
#> [1] 1
#> 
#> [[2]]$phi_t
#> [1] 1
#> 
#> 
#> [[3]]
#> [[3]]$phi_s
#> [1] 1
#> 
#> [[3]]$phi_t
#> [1] 2
#> 
#> 
#> [[4]]
#> [[4]]$phi_s
#> [1] 1
#> 
#> [[4]]$phi_t
#> [1] 2
#> 
#> 
#> attr(,"class")
#> [1] "candidateModels"
m3 <- candidateModels(list(phi_s = list(c(1, 1), c(1, 2)),
                          phi_t = list(c(1, 3), c(2, 3)),
                          boundary = c(0.5, 0.75)),
                      "simple")