The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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
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.
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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.