Probabilistic Index Models


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Documentation for package ‘pim’ version 1.1.5.6

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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