cell-bounds: Compute the lower and upper bounds
In dkahle/algstat: Algebraic Statistics
cell-bounds R Documentation
Compute the lower and upper bounds
Description
Compute the lower and upper bounds of a cell in a vectorized contingency
table.
Usage
cell_bounds(A, b, strategy = c("lp", "ip"), start = 1, messaging = FALSE)
cellBounds(...)
Arguments
A
the configuration matrix of the model defining the fiber
b
solution vector in Ax = b (vector of sufficient statistics)
strategy
"lp" for linear programming and "ip" for integer programming.
(both use lpSolve::lp())
start
reduce the size of the matrix A, i.e. use
A[,start:ncol(A)] instead of A
messaging
TRUE for messages
...
...
Value
a named numeric vector
Author(s)
Ruriko Yoshida ruriko.yoshida@uky.edu, David Kahle
david@kahle.io
Examples
A <- hmat(c(2,2), 1:2)
b <- rep.int(4, 4)
cell_bounds(A, b, messaging = TRUE)
dkahle/algstat documentation built on May 23, 2023, 12:29 a.m.
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| cell-bounds | R Documentation |
Compute the lower and upper bounds
Description
Compute the lower and upper bounds of a cell in a vectorized contingency table.
Usage
cell_bounds(A, b, strategy = c("lp", "ip"), start = 1, messaging = FALSE)
cellBounds(...)
Arguments
A |
the configuration matrix of the model defining the fiber |
b |
solution vector in Ax = b (vector of sufficient statistics) |
strategy |
"lp" for linear programming and "ip" for integer programming.
(both use |
start |
reduce the size of the matrix A, i.e. use
|
messaging |
TRUE for messages |
... |
... |
Value
a named numeric vector
Author(s)
Ruriko Yoshida ruriko.yoshida@uky.edu, David Kahle david@kahle.io
Examples
A <- hmat(c(2,2), 1:2)
b <- rep.int(4, 4)
cell_bounds(A, b, messaging = TRUE)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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