pim-package | Probabilistic Index Models |
add.varianceestimate | Add (co)variance estimates to a PIM |
classical.test | PIM implementations of distributionfree tests |
crossvalidate.pim | Crossvalidate a glmnet PIM |
cv.pim | Crossvalidate a glmnet PIM |
cv.pim-class | Crossvalidate a glmnet PIM |
demo.BrownHettmansperger | Generate sample data that is appropriate for the classical distributionfree tests |
demo.JonckheereTerpstra | Generate sample data that is appropriate for the classical distributionfree tests |
demo.KruskalWallis | Generate sample data that is appropriate for the classical distributionfree tests |
demo.MackSkillings | Generate sample data that is appropriate for the classical distributionfree tests |
demo.MackWolfe | Generate sample data that is appropriate for the classical distributionfree tests |
demo.WilcoxonMannWhitney | Generate sample data that is appropriate for the classical distributionfree tests |
design.matrix | Plot very basic G.O.F. for a pim |
design.matrix.pim | Plot very basic G.O.F. for a pim |
designcols | Plot very basic G.O.F. for a pim |
designcols.pim | Plot very basic G.O.F. for a pim |
DysData | This is the Dysphagia data |
Engeldata | This is the engel data |
estimator | Estimators for the PIM parameters |
estimator.BB | Estimators for the PIM parameters |
estimator.glm | Estimators for the PIM parameters |
estimator.glmnet | Estimators for the PIM parameters |
estimator.lqa | Estimators for the PIM parameters |
estimator.nleqslv | Estimators for the PIM parameters |
estimator.trymultiple | Estimators for the PIM parameters |
FEVData | This is the Childhood respiratory disease data |
forcedcolorderonewayposet | Get a set of pseudo-observation observation indices |
forcedposet | Get a set of pseudo-observation observation indices |
Freplacetext | Pseudo-observation formula conversion helpers |
fullposet | Get a set of pseudo-observation observation indices |
glmnetpim | Fit a PIM |
glmnetpim-class | Fit a PIM |
IPI | Probabilistic Index / Indicator for sets of variables |
legacy.BrownHettmansperger | Non-PIM implementations of distributionfree tests |
legacy.JonckheereTerpstra | Non-PIM implementations of distributionfree tests |
legacy.KruskalWallis | Non-PIM implementations of distributionfree tests |
legacy.MackSkillings | Non-PIM implementations of distributionfree tests |
legacy.MackWolfe | Non-PIM implementations of distributionfree tests |
legacy.WilcoxonMannWhitney | Non-PIM implementations of distributionfree tests |
lexiposet | Get a set of pseudo-observation observation indices |
LHSreplacetext | Pseudo-observation formula conversion helpers |
Lreplacetext | Pseudo-observation formula conversion helpers |
Mainreplacetext | Pseudo-observation formula conversion helpers |
MHData | This is the Mental health data |
noselfposet | Get a set of pseudo-observation observation indices |
onewayposet | Get a set of pseudo-observation observation indices |
Oreplacetext | Pseudo-observation formula conversion helpers |
outcomeformula | Plot very basic G.O.F. for a pim |
outcomeformula.pim | Plot very basic G.O.F. for a pim |
pim | Fit a PIM |
pim-class | Fit a PIM |
pim.fit | Actually fit the pim |
pim.fit.prep | Convert formula to pim formula |
pimfitdata | Convert formula to pim formula |
pimfitdata-class | Convert formula to pim formula |
pimformula | Convert formula to pim formula |
pimformula-class | Convert formula to pim formula |
pimsym | Check the symmetry condition for a PIM |
plot.pim | Plot very basic G.O.F. for a pim |
posandwich.estimator | Pseudo-observation variance sandwich estimator |
posandwich.estimator.Uforposandwich | Pseudo-observation variance sandwich estimator |
poset | Get a set of pseudo-observation observation indices |
print.pim | Display a PIM |
print.summary.pim | Plot very basic G.O.F. for a pim |
print.summary.pimo | Plot very basic G.O.F. for a pim |
pseudoweights.default | Convert formula to pim formula |
responses | Plot very basic G.O.F. for a pim |
responses.pim | Plot very basic G.O.F. for a pim |
Rreplacetext | Pseudo-observation formula conversion helpers |
scorefunctioncreator | Estimators for the PIM parameters |
scorefunctioncreator.default | Estimators for the PIM parameters |
simplifiedpimestimation.marginalcoefficients | Simplified fitting of PIMs with only one categorical predictor |
simplifiedpimestimation.marginalcovariance | Simplified fitting of PIMs with only one categorical predictor |
simplifiedpimestimation.pairwisecoefficients | Simplified fitting of PIMs with only one categorical predictor |
simplifiedpimestimation.pairwisecovariance | Simplified fitting of PIMs with only one categorical predictor |
SUData | This is the Surgical unit data |
summary.pim | Plot very basic G.O.F. for a pim |
summary.pim-class | Plot very basic G.O.F. for a pim |
Uforposandwich | Pseudo-observation variance sandwich estimator |
Uforposandwich-class | Pseudo-observation variance sandwich estimator |
Uforposandwich.default | Pseudo-observation variance sandwich estimator |
Uforposandwich.fakeH0 | Pseudo-observation variance sandwich estimator |
variance.estimator | Pseudo-observation variance sandwich estimator |
varianceestimator | Estimators for the PIM parameter variances |
varianceestimator.bootstrap | Estimators for the PIM parameter variances |
varianceestimator.glm | Estimators for the PIM parameter variances |
varianceestimator.H0 | Estimators for the PIM parameter variances |
varianceestimator.sandwich | Estimators for the PIM parameter variances |
vcov.pim | Plot very basic G.O.F. for a pim |