Tools and Classes for Statistical Models


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Documentation for package ‘modeltools’ version 0.2-23

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clone Class "ModelEnv"
clone-method Class "ModelEnv"
clusters Generic Utility Functions
dimension Class "ModelEnv"
dimension-method Class "ModelEnv"
dpp Class "StatModel"
dpp-method Class "StatModel"
empty Class "ModelEnv"
empty-method Class "ModelEnv"
fit Class "StatModel"
fit-method Class "StatModel"
fitted.glinearModel Class "StatModel"
fitted.linearModel Class "StatModel"
fitted.survReg Class "StatModel"
FormulaParts-class Class "FormulaParts"
getModel Generic Utility Functions
glinearModel Class "StatModel"
has Class "ModelEnv"
has-method Class "ModelEnv"
ICL Generic Utility Functions
info Get Information on Fitted Objects
info-method Get Information on Fitted Objects
infoCheck Get Information on Fitted Objects
initialize-method Class "ModelEnv"
KLdiv Generic Utility Functions
Lapply Generic Utility Functions
linearModel Class "StatModel"
logLik.survReg Class "StatModel"
MEapply Apply functions to Data in Object of Class "ModelEnv"
MEapply-method Apply functions to Data in Object of Class "ModelEnv"
model.matrix.glinearModel Class "StatModel"
model.matrix.linearModel Class "StatModel"
ModelEnv-class Class "ModelEnv"
ModelEnvFormula Generate a model environment from a classical formula based interface.
ModelEnvFormula-class Class "ModelEnvFormula"
ModelEnvMatrix Generate a model environment from design and response matrix
na.fail Class "ModelEnv"
na.fail-method Class "ModelEnv"
na.omit Class "ModelEnv"
na.omit-method Class "ModelEnv"
na.pass Class "ModelEnv"
na.pass-method Class "ModelEnv"
parameters Generic Utility Functions
ParseFormula Generic Utility Functions
posterior Generic Utility Functions
Predict Model Predictions
predict.glinearModel Class "StatModel"
predict.linearModel Class "StatModel"
print.glinearModel Class "StatModel"
print.linearModel Class "StatModel"
print.survReg Class "StatModel"
prior Generic Utility Functions
refit Generic Utility Functions
relabel Generic Utility Functions
show-method Class "ModelEnv"
StatModel-class Class "StatModel"
StatModelCapabilities-class Class "StatModelCapabilities"
subset Class "ModelEnv"
subset-method Class "ModelEnv"
survReg Class "StatModel"
weights.linearModel Class "StatModel"
weights.survReg Class "StatModel"