Changes in version 0.7 (2024-11-08)                   

  - svycollinear updated to include more families: binomial and
    quasibinomial (logit and probit links), Gamma (inverse link),
    inverse.guassian ("1/mu^2" link), poisson and quasipoisson (log
    link). The function has also been redesigned to require the X matrix
    as an input, which is comparable to the requirements for svyvif. The
    unit variance-covariance matrix is now computed within the function
    based on information in the input model object (mobj).

  - svyvif updated to include Gamma and inverse.gaussian families

                  Changes in version 0.6 (2024-05-08)                   

  - Intercept-excluded version of VIF added for all models covered:
    binomial, gaussian, poisson, quasibinomial, and quasipoisson. The
    intercept-excluded version is analogous to the one found in other
    statistical packages for linear models fitted with non-survey data.

  - Error corrected in calculation of R-squared in intercept-included
    version of VIF for non-gaussian models (i.e., binomial, poisson,
    quasibinomial, and quasipoisson). In previous versions SST in the
    denominator was not corrected for the mean.

                  Changes in version 0.5 (2024-03-12)                   

  - svycollinear: Updated to include an error trap on the mod and
    svyglm.obj parameters. If mod is a model matrix, then svyglm.obj
    must be FALSE.

  - svycollinear: Check added when mod is not a matrix but is a data
    frame. If any column is a factor, then an error is issued that the
    mod must have factors recoded as zeroes and ones using model.matrix.