Changes in version 0.3.5-6 (2025-04-11)                 

Compared to version 0.3.5-6 of lphom, the new version includes
additional capabilities and outputs in the rslphom function. If the new
argument confidence is a number between 0 and 1, it saves all the (final
and intermediate) unit tables estimated by rescaling each unit and also
derives confidence intervals from them.

                Changes in version 0.3.5-5 (2024-03-03)                 

Compared to version 0.3.5-5 of lphom, the new version includes updated
references.

                Changes in version 0.3.5-4 (2024-02-20)                 

Compared to version 0.3.5-4 of lphom, the new version:

  - solves a bug in the adjust2integers() function. In the previous
    version, instead of applying the solver argument declared in the
    function, it incorrectly used the solver argument declared when
    creating the x object. It has also bounded the computational time
    required with argument solver = "lp_solve" when performing integer
    linear programming. Now lphom requires package lpSolve (>= 5.6.18).
  - solves a bug in the plot.lphom() method. In the previous version, it
    produced an error when trying to plot an object generated with _dual
    functions.
  - reviews documentation and updates references.

                Changes in version 0.3.1-1 (2022-03-21)                 

Compared to version 0.3.1-1 of lphom, the new version:

  - includes two new arguments (apriori and lambda) in functions
    lphom(), tslphom(), nslphom() and lclphom(). The apriori argument
    allows to introduce in the inference process information from polls
    or some other a priori knowledge/intuition about the row
    standardized transfer probabilities. The lambda argument controls
    the weight the user assigns to the a priori information.
  - offers an implementation of the bottom-up approach for ecological
    inference through the rslphom() function.
  - expands the number of scenarios in terms of how entries of new
    voters and exits of previous voters are handled by the different
    functions. The new options include: "ordinary", "enriched",
    "semifull", "fullreverse", "adjust1" and "adjust2".
  - modifies the lclphom() algorithm by including the two possibilities
    of calculating the distance with the global matrix. The distance
    with the global matrix that is used to generate the local solution
    and the distance with the global matrix where the local solution
    integrates into. This is controlled with the type.errors argument.
  - incorporates to the outputs of the functions lphom(), tslphom(),
    nslphom(), lclphom(), rslphom(), lphom_joint(), tslphom_joint() and
    nslphom_joint() the list deterministic.bounds. The object
    deterministic.bounds contains both the deterministic global and unit
    bounds that derive from the observed margins.
  - reviews documentation and updates references.