cNORM (version 3.6.1)

autoselect.betabinomial: Automatic model selection for beta-binomial continuous norming via BIC

Description

Selects polynomial degrees for the two components of a beta-binomial model (\(\alpha\)/\(\beta\) when mode = 2 or \(\mu\)/\(\sigma\) when mode = 1) by minimizing BIC over the full grid of degree combinations.

Usage

autoselect.betabinomial(
  age,
  score,
  n = NULL,
  weights = NULL,
  mode = 2,
  max_alpha = 4,
  max_beta = 4,
  min_alpha = 1,
  min_beta = 1,
  control = NULL,
  scale = "T",
  parallel = TRUE,
  n_cores = NULL,
  plot = TRUE,
  verbose = TRUE
)

Value

The selected fitted model, with an additional element

selection containing the evaluation table and selection details.

Arguments

age, score

Numeric vectors of predictor and response values.

n

Maximum score. Defaults to max(score).

weights

Optional numeric vector of weights.

mode

1 for \(\mu\)/\(\sigma\), 2 for direct \(\alpha\)/\(\beta\) (default).

max_alpha, max_beta

Maximum polynomial degrees. Default 4.

min_alpha, min_beta

Minimum polynomial degrees. Default 1.

control

Optional control list passed to optim.

scale

Norm scale (default "T").

parallel

Logical; attempt parallel execution. Default TRUE.

n_cores

Number of cores. Defaults to all logical cores.

plot

Logical; plot the selected model. Default TRUE.

verbose

Logical; print progress. Default TRUE.

Details

Parallel execution is attempted by default. If the workers cannot access the cNORM namespace (e.g. during devtools::load_all()), the function transparently falls back to sequential execution.