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logit
, complementary log-log
and probit
link functions.generalized linear models
, nearest neighbours
and predictive mean matching
methods for Mass ImputationSCAD
, LASSO
and MCP
penalization equationsanalytic
and bootstrap
(with parallel computation - doSNOW
package) variance for described estimatorsnonprob
class such as
nobs
for samples sizepop.size
for population size estimationresiduals
for residuals of the inverse probability weighting modelcooks.distance
for identifying influential observations that have a significant impact on the parameter estimateshatvalues
for measuring the leverage of individual observationslogLik
for computing the log-likelihood of the model,AIC
(Akaike Information Criterion) for evaluating the model based on the trade-off between goodness of fit and complexity, helping in model selectionBIC
(Bayesian Information Criterion) for a similar purpose as AIC but with a stronger penalty for model complexityconfint
for calculating confidence intervals around parameter estimatesvcov
for obtaining the variance-covariance matrix of the parameter estimatesdeviance
for assessing the goodness of fit of the modelR-cmd
checknonprob
function.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.