strategy_postprob: Strategy Classification: Posterior Model Probabilities

In multinomineq: Bayesian Inference for Multinomial Models with Inequality Constraints

Strategy Classification: Posterior Model Probabilities

Description

Posterior model probabilities for multiple strategies (with equal prior model probabilities).

Usage

strategy_postprob(k, n, strategies, cpu = 1)

Arguments

k	observed frequencies of Option B. Either a vector or a matrix/data frame (one person per row).
n	vector with the number of choices per item type.
strategies	list of strategies. See strategy_multiattribute
cpu	number of processing units for parallel computation.

See Also

strategy_marginal and model_weights

Examples

# pattern 1: A, A, B with constant error e<.50
strat1 <- list(
  pattern = c(-1, -1, 1),
  c = .5, ordered = FALSE,
  prior = c(1, 1)
)
# pattern 2: A, B, B with ordered error e1<e3<e2<.50
strat2 <- list(
  pattern = c(-1, 3, 2),
  c = .5, ordered = TRUE,
  prior = c(1, 1)
)
baseline <- list(
  pattern = 1:3, c = 1, ordered = FALSE,
  prior = c(1, 1)
)

# data
k <- c(3, 4, 12) # frequencies Option B
n <- c(20, 20, 20) # number of choices
strategy_postprob(k, n, list(strat1, strat2, baseline))

multinomineq documentation built on Nov. 22, 2022, 5:09 p.m.