cvmaPLFAM (version 0.1.1)

modelspec: Generate candidate models

Description

Specify non-nested or nested candidate models, according to the prescribed number of scalar predictors and the number of functional principal components (FPCs). Each candidate model comprises at least one scalar predictor and one FPC.

Usage

modelspec(nump, numq, method = NULL)

Value

A list of

a1

The number of scalar predictors in each candidate model.

a2

The number of FPCs in each candidate model.

a3

The index for each component in each candidate model.

Arguments

nump

The number of scalar predictors used in candidate models.

numq

The number of functional principal components (FPCs) used in candidate models.

method

A character string or NULL. If NULL, candidate models are generated under a non-nested structure. If "nested", candidate models are generated under a nested structure. Otherwise, an error will be raised.

Examples

# Example 1: non-nested models
# Given nump = 2 and numq = 2, resulting in 9 candidate models
modelspec(2, 2)
#$a1
#[1] 2 2 2 1 1 1 1 1 1
#$a2
#[1] 2 1 1 2 1 1 2 1 1
#$a3
#      [,1] [,2] [,3] [,4]
# [1,]    1    2    3    4
# [2,]    1    2    3    0
# [3,]    1    2    0    4
# [4,]    1    0    3    4
# [5,]    1    0    3    0
# [6,]    1    0    0    4
# [7,]    0    2    3    4
# [8,]    0    2    3    0
# [9,]    0    2    0    4

# Example 2: nested models
# Given nump = 2 and numq = 3, resulting in 6 candidate models
modelspec(2, 3, method = "nested")
#$a1
# [1] 2 2 2 1 1 1
#$a2
# [1] 3 2 1 3 2 1
#$a3
#      [,1] [,2] [,3] [,4] [,5]
# [1,]    1    2    3    4    5
# [2,]    1    2    3    4    0
# [3,]    1    2    3    0    0
# [4,]    1    0    3    4    5
# [5,]    1    0    3    4    0
# [6,]    1    0    3    0    0