dss()
now capable of working with sparse matrices internally.gginv()
generates a function that coerces its input to a matrix.grake()
.attributes
to dss()
, if TRUE
attributes are added to the result.autoroxy
code so that package documentation can be created.dss()
and gginv()
, with tests.dss()
implements generalized raking as descried by Deville et al. (1993).
The implementation requires a function that inverts a matrix. gginv()
creates such a function (given a tolerance and a function that computes
a singular value decomposition), but solve
can also be used in some cases.Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.