Ab_max {multinomineq} | R Documentation |
Automatic Construction of Ab-Representation for Common Inequality Constraints
Description
Constructs the matrix A
and vector b
of the Ab-representation
A*x < b
for common inequality constraints such as "the probability j is
larger than all others (Ab_max
)" or "the probabilities are ordered
(Ab_monotonicity
)").
Usage
Ab_max(
which_max,
options,
exclude = c(),
exclude_fixed = FALSE,
drop_fixed = TRUE
)
Arguments
which_max |
vector of indices refering to probabilities that are
assumed to be larger than the remaining probabilities
(e.g., |
options |
number of observable categories/probabilities for each item
type/multinomial distribution, e.g., |
exclude |
vector of indices refering to probabilities that are excluded from the construction of the order constraints (including the fixed probabilities). |
exclude_fixed |
whether to exclude the fixed probabilities (i.e., the
last probability within each multinomial) from the construction of the
order constraints. For example, if |
drop_fixed |
whether to drop columns of |
Value
a list with the matrix A
and the vectors b
and options
Examples
# Example 1: Multinomial with 5 categories
# Hypothesis: p1 is larger than p2,p3,p4,p5
Ab_max(which_max = 1, options = 5)
# Example 2: Four binomial probabilities
# Hypothesis: p1 is larger than p2,p3,p4
Ab_max(which_max = 1, options = c(2, 2, 2, 2), exclude_fixed = TRUE)