Description Usage Arguments Value

This function sets up the LP model so that the bounds can be
obtained. The LP model must be passed as an environment variable,
under the entry `$model`

. See `lpSetup`

.

1 2 3 4 5 6 7 8 9 10 | ```
lpSetupBound(
env,
g0,
g1,
sset,
criterion.tol,
criterion.min,
solver,
setup = TRUE
)
``` |

`env` |
the environment containing the LP model. |

`g0` |
set of expectations for each terms of the MTR for the control group. |

`g1` |
set of expectations for each terms of the MTR for the control group. |

`sset` |
a list containing the point estimates and gamma components associated with each element in the S-set. This object is only used to determine the names of terms. If it is no submitted, then no names are provided to the solution vector. |

`criterion.tol` |
additional multiplicative factor for how much
more the solution is permitted to violate observational
equivalence of the IV-like estimands, i.e. |

`criterion.min` |
minimum criterion, i.e. minimum deviation from observational equivalence while satisfying shape constraints. |

`solver` |
string, name of the package used to solve the LP problem. |

`setup` |
boolean. If |

Nothing, as this modifies an environment variable to save memory.

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.