A B C D E F G H I L M N O P Q R S U V W X misc
AIC.rms | Miscellaneous Design Attributes and Utility Functions |
anova.rms | Analysis of Variance (Wald, LR, and F Statistics) |
asis | rms Special Transformation Functions |
bj | Buckley-James Multiple Regression Model |
bj.fit | Buckley-James Multiple Regression Model |
bjplot | Buckley-James Multiple Regression Model |
bootBCa | BCa Bootstrap on Existing Bootstrap Replicates |
bootcov | Bootstrap Covariance and Distribution for Regression Coefficients |
bootplot | Bootstrap Covariance and Distribution for Regression Coefficients |
bootplot.bootcov | Bootstrap Covariance and Distribution for Regression Coefficients |
bplot | 3-D Plots Showing Effects of Two Continuous Predictors in a Regression Model Fit |
calibrate | Resampling Model Calibration |
calibrate.cph | Resampling Model Calibration |
calibrate.default | Resampling Model Calibration |
calibrate.psm | Resampling Model Calibration |
calibrate.rms | Miscellaneous Design Attributes and Utility Functions |
catg | rms Special Transformation Functions |
combineRelatedPredictors | Miscellaneous Design Attributes and Utility Functions |
confplot | Bootstrap Covariance and Distribution for Regression Coefficients |
confplot.bootcov | Bootstrap Covariance and Distribution for Regression Coefficients |
contrast | General Contrasts of Regression Coefficients |
contrast.rms | General Contrasts of Regression Coefficients |
cph | Cox Proportional Hazards Model and Extensions |
cr.setup | Continuation Ratio Ordinal Logistic Setup |
datadist | Distribution Summaries for Predictor Variables |
Design | rms Methods and Generic Functions |
DesignAssign | Miscellaneous Design Attributes and Utility Functions |
dxy.cens | Validation of a Fitted Cox or Parametric Survival Model's Indexes of Fit |
effective.df | Trace AIC and BIC vs. Penalty |
ExProb | Function Generator For Exceedance Probabilities |
ExProb.orm | Function Generator For Exceedance Probabilities |
fastbw | Fast Backward Variable Selection |
formatNP | Miscellaneous Design Attributes and Utility Functions |
Function.cph | Compose an S Function to Compute X beta from a Fit |
Function.rms | Compose an S Function to Compute X beta from a Fit |
gendata | Generate Data Frame with Predictor Combinations |
Getlim | Miscellaneous Design Attributes and Utility Functions |
Getlimi | Miscellaneous Design Attributes and Utility Functions |
ggplot | Exported Functions That Were Imported From Other Packages |
ggplot.Predict | Plot Effects of Variables Estimated by a Regression Model Fit Using ggplot2 |
gIndex | Calculate Total and Partial g-indexes for an rms Fit |
Glm | rms Version of glm |
Gls | Fit Linear Model Using Generalized Least Squares |
groupkm | Kaplan-Meier Estimates vs. a Continuous Variable |
gTrans | rms Special Transformation Functions |
Hazard | Parametric Survival Model |
Hazard.psm | Parametric Survival Model |
hazard.ratio.plot | Hazard Ratio Plot |
histdensity | Bootstrap Covariance and Distribution for Regression Coefficients |
html.anova.rms | Analysis of Variance (Wald, LR, and F Statistics) |
html.naprint.delete | Miscellaneous Design Attributes and Utility Functions |
html.summary.rms | Summary of Effects in Model |
html.validate | Resampling Validation of a Fitted Model's Indexes of Fit |
ie.setup | Intervening Event Setup |
impactPO | Impact of Proportional Odds Assumpton |
interactions.containing | Miscellaneous Design Attributes and Utility Functions |
latex.anova.rms | Analysis of Variance (Wald, LR, and F Statistics) |
latex.bj | LaTeX Representation of a Fitted Model |
latex.cph | LaTeX Representation of a Fitted Cox Model |
latex.Glm | LaTeX Representation of a Fitted Model |
latex.Gls | LaTeX Representation of a Fitted Model |
latex.lrm | LaTeX Representation of a Fitted Cox Model |
latex.naprint.delete | Miscellaneous Design Attributes and Utility Functions |
latex.ols | LaTeX Representation of a Fitted Cox Model |
latex.orm | LaTeX Representation of a Fitted Cox Model |
latex.pphsm | LaTeX Representation of a Fitted Cox Model |
latex.psm | LaTeX Representation of a Fitted Cox Model |
latex.Rq | rms Package Interface to quantreg Package |
latex.summary.rms | Summary of Effects in Model |
latex.validate | Resampling Validation of a Fitted Model's Indexes of Fit |
latexrms | LaTeX Representation of a Fitted Model |
legend.nomabbrev | Draw a Nomogram Representing a Regression Fit |
lines.residuals.psm.censored.normalized | Parametric Survival Model |
logLik.Gls | Miscellaneous Design Attributes and Utility Functions |
logLik.ols | Miscellaneous Design Attributes and Utility Functions |
logLik.rms | Miscellaneous Design Attributes and Utility Functions |
lrm | Logistic Regression Model |
lrm.fit | Logistic Model Fitter |
lrm.fit.bare | lrm.fit.bare |
lrtest | Miscellaneous Design Attributes and Utility Functions |
LRupdate | LRupdate |
lsp | rms Special Transformation Functions |
makepredictcall.rms | rms Special Transformation Functions |
matinv | Total and Partial Matrix Inversion using Gauss-Jordan Sweep Operator |
matrx | rms Special Transformation Functions |
Mean.cph | Cox Proportional Hazards Model and Extensions |
Mean.lrm | Predicted Values for Binary and Ordinal Logistic Models |
Mean.orm | Predicted Values for Binary and Ordinal Logistic Models |
Mean.psm | Parametric Survival Model |
modelData | rms Methods and Generic Functions |
Newlabels | Miscellaneous Design Attributes and Utility Functions |
Newlabels.rms | Miscellaneous Design Attributes and Utility Functions |
Newlevels | Miscellaneous Design Attributes and Utility Functions |
Newlevels.rms | Miscellaneous Design Attributes and Utility Functions |
nobs.rms | Miscellaneous Design Attributes and Utility Functions |
nomogram | Draw a Nomogram Representing a Regression Fit |
npsurv | Nonparametric Survival Estimates for Censored Data |
ols | Linear Model Estimation Using Ordinary Least Squares |
oos.loglik | Miscellaneous Design Attributes and Utility Functions |
oos.loglik.cph | Miscellaneous Design Attributes and Utility Functions |
oos.loglik.Glm | Miscellaneous Design Attributes and Utility Functions |
oos.loglik.lrm | Miscellaneous Design Attributes and Utility Functions |
oos.loglik.ols | Miscellaneous Design Attributes and Utility Functions |
oos.loglik.psm | Miscellaneous Design Attributes and Utility Functions |
orm | Ordinal Regression Model |
orm.fit | Ordinal Regression Model Fitter |
pantext | Plot Effects of Variables Estimated by a Regression Model Fit |
param.order | Miscellaneous Design Attributes and Utility Functions |
Penalty.matrix | Miscellaneous Design Attributes and Utility Functions |
Penalty.setup | Miscellaneous Design Attributes and Utility Functions |
pentrace | Trace AIC and BIC vs. Penalty |
perimeter | 3-D Plots Showing Effects of Two Continuous Predictors in a Regression Model Fit |
perlcode | Compose an S Function to Compute X beta from a Fit |
plot.anova.rms | Analysis of Variance (Wald, LR, and F Statistics) |
plot.calibrate | Resampling Model Calibration |
plot.calibrate.default | Resampling Model Calibration |
plot.contrast.rms | plot.contrast.rms |
plot.ExProb | Function Generator For Exceedance Probabilities |
plot.gIndex | Calculate Total and Partial g-indexes for an rms Fit |
plot.lrm.partial | Residuals from an 'lrm' or 'orm' Fit |
plot.nomogram | Draw a Nomogram Representing a Regression Fit |
plot.pentrace | Trace AIC and BIC vs. Penalty |
plot.Predict | Plot Effects of Variables Estimated by a Regression Model Fit |
plot.rexVar | plot.rexVar |
plot.sensuc | Sensitivity to Unmeasured Covariables |
plot.summary.rms | Summary of Effects in Model |
plot.val.prob | Validate Predicted Probabilities |
plot.val.surv | Validate Predicted Probabilities Against Observed Survival Times |
plot.val.survh | Validate Predicted Probabilities Against Observed Survival Times |
plot.validate.rpart | Dxy and Mean Squared Error by Cross-validating a Tree Sequence |
plot.xmean.ordinaly | Plot Mean X vs. Ordinal Y |
plotp.Predict | Plot Effects of Variables Estimated by a Regression Model Fit Using plotly |
pol | rms Special Transformation Functions |
poma | Examine proportional odds and parallelism assumptions of 'orm' and 'lrm' model fits. |
pphsm | Parametric Proportional Hazards form of AFT Models |
predab.resample | Predictive Ability using Resampling |
Predict | Compute Predicted Values and Confidence Limits |
predict.bj | Predicted Values from Model Fit |
predict.cph | Predicted Values from Model Fit |
predict.Glm | Predicted Values from Model Fit |
predict.Gls | Predicted Values from Model Fit |
predict.lrm | Predicted Values for Binary and Ordinal Logistic Models |
predict.ols | Predicted Values from Model Fit |
predict.orm | Predicted Values for Binary and Ordinal Logistic Models |
predict.psm | Predicted Values from Model Fit |
predict.rms | Predicted Values from Model Fit |
predict.Rq | rms Package Interface to quantreg Package |
predictrms | Predicted Values from Model Fit |
print.anova.rms | Analysis of Variance (Wald, LR, and F Statistics) |
print.bj | Buckley-James Multiple Regression Model |
print.calibrate | Resampling Model Calibration |
print.calibrate.default | Resampling Model Calibration |
print.contrast.rms | General Contrasts of Regression Coefficients |
print.cph | Print cph Results |
print.datadist | Distribution Summaries for Predictor Variables |
print.fastbw | Fast Backward Variable Selection |
print.gIndex | Calculate Total and Partial g-indexes for an rms Fit |
print.Glm | print.glm |
print.Gls | Fit Linear Model Using Generalized Least Squares |
print.impactPO | Print Result from impactPO |
print.lrm | Logistic Regression Model |
print.lrtest | Miscellaneous Design Attributes and Utility Functions |
print.nomogram | Draw a Nomogram Representing a Regression Fit |
print.ols | Print ols |
print.orm | Ordinal Regression Model |
print.pentrace | Trace AIC and BIC vs. Penalty |
print.pphsm | Parametric Proportional Hazards form of AFT Models |
print.Predict | Compute Predicted Values and Confidence Limits |
print.psm | Parametric Survival Model |
print.rexVar | print.rexVar |
print.rms | Miscellaneous Design Attributes and Utility Functions |
print.Rq | rms Package Interface to quantreg Package |
print.specs.rms | rms Specifications for Models |
print.summary.rms | Summary of Effects in Model |
print.survest.psm | Parametric Survival Estimates |
print.val.prob | Validate Predicted Probabilities |
print.val.survh | Validate Predicted Probabilities Against Observed Survival Times |
print.validate | Resampling Validation of a Fitted Model's Indexes of Fit |
print.validate.rpart | Dxy and Mean Squared Error by Cross-validating a Tree Sequence |
prmiInfo | prmiInfo |
prModFit | Miscellaneous Design Attributes and Utility Functions |
processMI | processMI |
processMI.fit.mult.impute | processMI.fit.mult.impute |
prStats | Miscellaneous Design Attributes and Utility Functions |
psm | Parametric Survival Model |
Quantile.cph | Cox Proportional Hazards Model and Extensions |
Quantile.orm | Ordinal Regression Model |
Quantile.psm | Parametric Survival Model |
rbind.Predict | Compute Predicted Values and Confidence Limits |
rcs | rms Special Transformation Functions |
related.predictors | Miscellaneous Design Attributes and Utility Functions |
reListclean | Miscellaneous Design Attributes and Utility Functions |
removeFormulaTerms | Miscellaneous Design Attributes and Utility Functions |
residuals.bj | Buckley-James Multiple Regression Model |
residuals.cph | Residuals for a cph Fit |
residuals.Glm | residuals.Glm |
residuals.lrm | Residuals from an 'lrm' or 'orm' Fit |
residuals.ols | Residuals for ols |
residuals.orm | Residuals from an 'lrm' or 'orm' Fit |
residuals.psm | Parametric Survival Model |
rexVar | rexVar |
rms | rms Methods and Generic Functions |
rms.Overview | Overview of rms Package |
rms.trans | rms Special Transformation Functions |
rmsArgs | Miscellaneous Design Attributes and Utility Functions |
rmsMisc | Miscellaneous Design Attributes and Utility Functions |
rmsOverview | Overview of rms Package |
robcov | Robust Covariance Matrix Estimates |
Rq | rms Package Interface to quantreg Package |
RqFit | rms Package Interface to quantreg Package |
sascode | Compose an S Function to Compute X beta from a Fit |
scored | rms Special Transformation Functions |
sensuc | Sensitivity to Unmeasured Covariables |
setPb | Progress Bar for Simulations |
show.influence | Which Observations are Influential |
specs | rms Specifications for Models |
specs.rms | rms Specifications for Models |
strat | rms Special Transformation Functions |
summary.rms | Summary of Effects in Model |
Surv | Exported Functions That Were Imported From Other Packages |
survdiffplot | Plot Survival Curves and Hazard Functions |
survest | Cox Survival Estimates |
survest.cph | Cox Survival Estimates |
survest.psm | Parametric Survival Estimates |
survest.rms | Miscellaneous Design Attributes and Utility Functions |
survfit.cph | Cox Predicted Survival |
Survival | Parametric Survival Model |
Survival.cph | Cox Proportional Hazards Model and Extensions |
Survival.psm | Parametric Survival Model |
survplot | Plot Survival Curves and Hazard Functions |
survplot.npsurv | Plot Survival Curves and Hazard Functions |
survplot.residuals.psm.censored.normalized | Parametric Survival Model |
survplot.rms | Plot Survival Curves and Hazard Functions |
survplotp | Plot Survival Curves and Hazard Functions |
survplotp.npsurv | Plot Survival Curves and Hazard Functions |
univarLR | Miscellaneous Design Attributes and Utility Functions |
val.prob | Validate Predicted Probabilities |
val.surv | Validate Predicted Probabilities Against Observed Survival Times |
validate | Resampling Validation of a Fitted Model's Indexes of Fit |
validate.bj | Buckley-James Multiple Regression Model |
validate.cph | Validation of a Fitted Cox or Parametric Survival Model's Indexes of Fit |
validate.lrm | Resampling Validation of a Logistic or Ordinal Regression Model |
validate.ols | Validation of an Ordinary Linear Model |
validate.orm | Resampling Validation of a Logistic or Ordinal Regression Model |
validate.psm | Validation of a Fitted Cox or Parametric Survival Model's Indexes of Fit |
validate.rpart | Dxy and Mean Squared Error by Cross-validating a Tree Sequence |
validate.Rq | Validation of a Quantile Regression Model |
vcov.cph | Miscellaneous Design Attributes and Utility Functions |
vcov.Glm | Miscellaneous Design Attributes and Utility Functions |
vcov.Gls | Miscellaneous Design Attributes and Utility Functions |
vcov.lrm | Miscellaneous Design Attributes and Utility Functions |
vcov.ols | Miscellaneous Design Attributes and Utility Functions |
vcov.orm | Miscellaneous Design Attributes and Utility Functions |
vcov.pphsm | Parametric Proportional Hazards form of AFT Models |
vcov.psm | Miscellaneous Design Attributes and Utility Functions |
vcov.rms | Miscellaneous Design Attributes and Utility Functions |
vif | Variance Inflation Factors |
which.influence | Which Observations are Influential |
Xcontrast | Xcontrast |
%ia% | rms Special Transformation Functions |