Skip to contents

ompr (development version)

ompr 1.0.2

CRAN release: 2022-01-31


  • Fixed a bug where get_solution returns incorrect results on R version < 4. Affected package versions are 1.0.0 and 1.0.1. (#404)

General changes

  • Model-building is now significantly faster
  • Constraints without variables that evaluate to TRUE are not added to the model, as they are always satisfied. Likewise, constraints that evaluate to FALSE throw an error. Previously specifying a constraint without a variable would have caused a run time error.
  • The minimum required R version is now 3.4 as {ompr.roi} has the same minimum R version.

ompr 1.0.1

CRAN release: 2022-01-26


ompr 1.0.0

CRAN release: 2022-01-26

General changes

  • Rewrote the MIPModel. It should now be faster, more maintainable, more stable and it has fewer bugs.
  • Added sum_over, a replacement for sum_expr in the MIPModel
  • set_bounds for MIPModel now accepts (in)equalities as well (#365)
  • MIPModel now supports characters as variable indexes
  • A solution object has a new named entry called additional_solver_output. In that place solver packages, like ompr.roi can store arbitrary solver information. Including solver specific messages and status codes. It should be read using the function additional_solver_output().
  • A solution can now have the solver_status = "success" which is used by the most recent ompr.roi version.


  • Fixed a bug where using the index “e” in sum_expr failed (#327)
  • Fixed a bug where coefficients that came after the variable in the expression would sometimes not be correctly parsed (#265)
  • Fixed a bug where add_variable failed if indexes were in the wrong order (#266)


All listed functions will likely be removed at some later point the future.

  • sum_expr shall not be used anymore. Please use sum_over instead.
  • MIPLModel will likely be removed from the package, as the vectorized approach did lead to some problems. Please use MIPModel instead.
  • add_variable_, add_constraint_, set_objective_, set_bounds and get_solution_ are not needed anymore with the new MIPModel as it is powered by rlang.
  • The .show_progress_bar parameter is now deprecated in all functions.


  • ompr is now licensed under the MIT license (#353).

Breaking Changes

  • extract_constraints now always returns a sparse matrix, even if there are 0 constraints or variables.
  • The row ordering of the data.frame returned with get_solution(x[i, j]) has slightly changed in special cases, but for the majority of calls, it should stay the same. One of these special cases is if you created your variable similar to add_variable(model, x[i, j], j = ..., i = ...), where the indexes in the variable and the quantifiers have different orderings. In general, please do not depend on the ordering of the rows, but use the indexes to retrieve the correct value. For example by sorting the data.frame , before reading.

ompr 0.8.1

CRAN release: 2020-12-04

General changes

  • You can now assign coefficients to all column/row combinations using colwise in the experimental MILPModel backend.
  • Non-existent indexes in sum_expr now produce a warning instead of an error. The missing indexes will be ignored (#202).


  • Fixed a bug were get_solution could return mixed up values when variables had partially similar names (eg: s[i] and bus[i]) by @hugolarzabal (#244).
  • Fixed a bug on where an if-condition had an input with length != 1.
  • Fixed some minor issues with newer data.table versions

ompr 0.8.0

CRAN release: 2018-06-11

General changes

  • Removed dplyr dependency
  • Added MILPModel, a new, vectorized backend for mixed integer linear programs that can handle very large models. It will eventually replace MIPModel.
  • Added two functions (get_column_duals, get_row_duals) to extract the dual (column and row) values from an LP.
  • The minimum supported R version is now 3.2.0
  • get_solution now always return a solution, even if the solution status is not optimal.
  • get_solution has a third argument type with permitted values being “primal” and “dual” to return the respective column primal or dual values.


  • You can now extract solutions of indexed variables that have length one (#198)

ompr 0.7.0

CRAN release: 2017-11-17

Breaking changes

  • ompr now uses sparse constraint matrices. extract_constraints now returns a sparse matrix and objective_function returns a sparse vector.
  • The minimum supported R version is now 3.3.0
  • Fixed an issue with Rcpp. The minimum Rcpp version is now 0.12.12

Minor changes

  • New progress bar based on the progress package.

ompr 0.6.0

CRAN release: 2017-04-17

  • First version on CRAN