Man pages for david-salgado/categObsPredModelParam
Class and methods for the parameters of a categorical observation- prediction model

categObsPredModelParam-classS4 class for the parameters of a categorical...
computeEdEfficiencyReturn a list with the global efficiency indicator and...
computeProbsCompute error probabilities according to the error model and...
computeRunningEstimReturn a data.table) with the sum of desing weights that...
computeValReturn model validation for an input data setbased on a...
editPriorityReturn a data.table with the priority that each unit has to...
effIndReturn the global efficiency indicator.
fitModelsReturn data.table with model fits for probabilities.
fitParam-classS4 class for the parameters necessary to fit a categorical...
getDataReturn slot 'Data' from the input object
getEdDataReturn slot 'edData' from the input object
getFormulaReturn slot 'formula' from the input object
getModelFitsReturn slot 'modelFits' from the input object
getRawDataReturn slot 'rawData' from the input object
getRegressandsReturn the regressands for the meaurement error models from...
getRegressorsReturn the regressors for the meaurement error models from...
getSelectionReturn slot 'selection' from the input object
getVarRolesReturn slot 'VarRoles' from the input object
ModelsReturn data.table with model fits for prior probabilities.
regfit2Fit robust logistic regression models to values of an input...
RFfitFit random forest model
robustlogrmFit a robust logistic regression model
setDataSet value of slot 'Data' of an object categObsPredModelParam
setModelFitsSet value of slot 'modelFits' of an object...
setProbsSet value of slot 'probs' of an object categObsPredModelParam
setRegressandsSet value of component Regressands of an object...
setTestSet value of slot 'Test' of an object categObsPredModelParam
setTrainSet value of slot 'Train' of an object categObsPredModelParam
tryingNewRegressorByValReturns a list with the global efficiency indicator and model...
david-salgado/categObsPredModelParam documentation built on Dec. 3, 2020, 1:42 p.m.