Package: pim 2.0.2
pim: Fit Probabilistic Index Models
Fit a probabilistic index model as described in Thas et al, 2012: <doi:10.1111/j.1467-9868.2011.01020.x>. The interface to the modeling function has changed in this new version. The old version is still available at R-Forge.
Authors:
pim_2.0.2.tar.gz
pim_2.0.2.zip(r-4.5)pim_2.0.2.zip(r-4.4)pim_2.0.2.zip(r-4.3)
pim_2.0.2.tgz(r-4.4-any)pim_2.0.2.tgz(r-4.3-any)
pim_2.0.2.tar.gz(r-4.5-noble)pim_2.0.2.tar.gz(r-4.4-noble)
pim_2.0.2.tgz(r-4.4-emscripten)pim_2.0.2.tgz(r-4.3-emscripten)
pim.pdf |pim.html✨
pim/json (API)
# Install 'pim' in R: |
install.packages('pim', repos = c('https://centerforstatistics-ugent.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/centerforstatistics-ugent/pim/issues
Last updated 5 years agofrom:26545a0cbc. Checks:OK: 5 NOTE: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 03 2024 |
R-4.5-win | NOTE | Nov 03 2024 |
R-4.5-linux | NOTE | Nov 03 2024 |
R-4.4-win | OK | Nov 03 2024 |
R-4.4-mac | OK | Nov 03 2024 |
R-4.3-win | OK | Nov 03 2024 |
R-4.3-mac | OK | Nov 03 2024 |
Exports:add.posetas.data.frameas.matrixclassescoefcompareconfintcreate.posetestimator.BBestimator.glmestimator.nleqslvfittedformulahas.intercepthas.specialsis.completekeep.dataLlhslinkmodelmodel.matrixnew.pim.envnew.pim.formulanew.pim.posetnobsPpenvpimpim.fitPOposetPPprintRresponsesandwich.vcovscore.vcovsummarytermsvcov
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Probabilistic Index Models | pim-package |
Create a poset function | .make.posfun |
Add a poset to a pim.environment object | add.poset add.poset,pim.environment-method |
Convert a pim.environment to a data frame | as.data.frame as.data.frame,pim.environment-method |
Convert a pim.summary object to a matrix | as.matrix as.matrix,pim-method as.matrix,pim.summary-method as.matrix.pim.summary |
Extract information from pim.environment and pim.poset objects | classes classes,pim.environment-method compare compare,pim.environment-method compare,pim.poset-method link link,pim-method link,pim.summary-method model model,pim-method model,pim.summary-method names names,pim.environment-method names,pim.poset-method |
Extract the coefficients from a pim or pim.summary object | coef coef,pim-method coef,pim.summary-method |
Calculate Wald confidence intervals around the coefficients of a PIM | confint confint,pim-method confint,pim.summary-method confint.pim confint.pim.summary |
Create a poset | create.poset |
Create a score function for use in a pim. | CreateScoreFun |
This is the Dysphagia data | DysData |
This is the engel data | EngelData |
Estimator functions for probabilistic index models | estimator.BB estimator.glm estimator.nleqslv estimators |
Extract method for pim.summary objects | Extract.pim.summary [,pim.summary-method |
This is the Childhood respiratory disease data | FEVData |
Extract the formula from a pim or pim.formula object | formula formula,pim-method formula,pim.formula-method |
Check whether formula has an explicit intercept | has.intercept has.intercept,character-method has.intercept,formula-method has.intercept,pim-method has.intercept,pim.formula-method has.intercept,terms-method |
Extract information from a pim.formula object | has.specials has.specials,pim.formula-method lhs lhs, lhs,pim.formula-method terms terms, terms,pim.formula-method |
Check whether a pim environment is complete | is.complete |
Specify the left hand and right hand side of an expression used in pims | L PP R |
This is the Mental health data | MHData |
Create a model matrix for a probabilistic index model | model.matrix model.matrix,pim-method model.matrix,pim.formula-method model.matrix.pim model.matrix.pim.formula |
Create an object of class pim | new.pim |
Constructor for a pim.environment | new.pim.env new.pim.env,ANY-method new.pim.env,data.frame-method new.pim.env,environment-method new.pim.env,list-method new.pim.env,missing-method |
Constructor for pim.formula | new.pim.formula new.pim.formula,formula,ANY-method new.pim.formula,formula,pim.environment-method |
Create a pim.poset environment | new.pim.poset new.pim.poset,character,numeric-method new.pim.poset,list,missing-method new.pim.poset,list,numeric-method new.pim.poset,matrix,missing-method new.pim.poset,matrix,numeric-method new.pim.poset,missing,numeric-method |
Extract the number of observations | nobs,data.frame-method nobs,matrix-method nobs,pim.environment-method nobs,pim.poset-method |
Probability function | P PO |
Extract a pim environment from a model or formula | penv penv,pim-method penv,pim.formula-method |
Fitting a Probabilistic Index Model | pim |
Class pim | pim-class |
Getters for slots of a pim object | fitted fitted,pim-method getters-pim keep.data pim-getters |
The pim.environment class | pim.environment pim.environment-class |
Fitter function for a probabilistic index model | pim.fit |
Class pim.formula | pim.formula pim.formula-class |
The pim.poset class | pim.poset pim.poset-class |
Class pim.summary | pim.summary pim.summary-class |
The data contained in the pim package | pimdata |
Extract the poset as a matrix or list | poset poset,environment-method poset,pim-method poset,pim.environment-method poset,pim.formula-method poset,pim.poset-method |
Print methods for the different object types | print print,pim-method print,pim.environment-method print,pim.formula-method print,pim.poset-method |
Extract response from a pim.formula or a pim object | response response,pim-method response,pim.formula-method |
Pseudo-observation variance sandwich estimator | sandwich.estimator score.estimator |
This is the Surgical unit data | SUData |
The summary function for the pim class | summary summary,pim-method summary.pim |
Methods for vcov | vcov vcov,list-method vcov,pim-method |
vcov estimators for pim | sandwich.vcov score.vcov vcov.estimators |
Internal functions for vcov estimation | U.sandwich U.score vcov.internal |