optimize_effect_2 {causaloptim} | R Documentation |

## Run the optimizer

### Description

Given an object with the linear programming problem set up, compute the bounds
using rcdd. Bounds are returned as text but can
be converted to R functions using interpret_bounds, or latex code using
latex_bounds.

### Usage

optimize_effect_2(obj)

### Arguments

### Value

An object of class "balkebound" that contains the bounds and logs as character strings

### Examples

b <- graph_from_literal(X -+ Y, Ur -+ X, Ur -+ Y)
V(b)$leftside <- c(0,0,0)
V(b)$latent <- c(0,0,1)
E(b)$rlconnect <- E(b)$edge.monotone <- c(0, 0, 0)
obj <- analyze_graph(b, constraints = NULL, effectt = "p{Y(X = 1) = 1} - p{Y(X = 0) = 1}")
optimize_effect_2(obj)

[Package

*causaloptim* version 0.8.2

Index]