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.
Compared to version 0.3.5-5 of lphom, the new version includes updated references.
Compared to version 0.3.5-4 of lphom, the new version:
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).plot.lphom() method. In the previous version, it produced an error when trying to plot an object generated with _dual functions.Compared to version 0.3.1-1 of lphom, the new version:
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.rslphom() function."ordinary", "enriched", "semifull", "fullreverse", "adjust1" and "adjust2".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.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.