Automatic Linear and Logistic Regression and Survival Analysis


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Documentation for package ‘autoReg’ version 0.2.6

Help Pages

addFitSummary Add model summary to an object of class gaze
addLabelData Add labels to data
adjustedPlot Draw an expected plot
adjustedPlot.survreg Draw predicted survival curve with an object survreg
adjustedPlot2 Draw a survfitted plot
anderson Remission survival times of 42 leukemia patients
anderson1 Remission survival times of 42 leukemia patients
anderson2 Remission survival times of 31 leukemia patients
as_printable Convert data.frame to printable form
autoReg Perform univariable and multivariable regression and stepwise backward regression automatically
autoReg.coxph Perform univariable and multivariable regression and stepwise backward regression automatically
autoReg.glm Perform univariable and multivariable regression and stepwise backward regression automatically
autoReg.lm Perform univariable and multivariable regression and stepwise backward regression automatically
autoReg.survreg Perform univariable and multivariable regression and stepwise backward regression automatically
autoRegCox perform automatic regression for a class of coxph
autoRegsurvreg perform automatic regression for a class of survreg
autoReg_sub Perform univariable and multivariable regression and stepwise backward regression automatically
beNumeric Whether a string vector can be converted to numeric
bootPredict Bootstrap simulation for model prediction
countGroups Count groups
coxzphplot Graphical Test of Proportional Hazards
crr2stats Extract statistics from an object of class crr
crrFormula Competing Risk Regression with Formula
descNum Make description for numeric summary
df2flextable Convert data.frame to flextable
drawline draw line character
expectedPlot Draw an adjusted Plot for a numeric predictor
filldown filldown vector with lead value
find1stDup Find first duplicated position
findDup Find duplicated term
fit2final Make final model using stepwise backward elimination
fit2lik extract likelihood information with a coxph object
fit2list Make a list of univariable model with multivariable regression model
fit2model Restore fit model data containing AsIs expressions
fit2multi Make multivariable regression model by selecting univariable models with p.value below threshold
fit2newdata Make a new data of mean value or most frequent value
fit2stats Summarize statistics with a model
fit2summary Summarize statistics with a model or model list
gaze Produce table for descriptive statistics
gaze.coxph Produce table for descriptive statistics
gaze.data.frame Produce table for descriptive statistics
gaze.formula Produce table for descriptive statistics
gaze.formula_sub Produce table for descriptive statistics
gaze.glm Produce table for descriptive statistics
gaze.lm Produce table for descriptive statistics
gaze.survreg Produce table for descriptive statistics
gaze.tidycrr Produce table for descriptive statistics
gazeCat Summary function for categorical variable
gazeCont Summary function for continuous variable
gaze_sub Summary function for categorical/continuous variable
getInteraction Get interaction data from data
getN Get number of data specified by 'name' and 'desc'
getSigVars Get explanatory variables of a model with significance level below the threshold
ggcmprsk Draw Cumulative Incidence Curves for Competing Risks
ggcmprsk2 Compare cumulative incidence to th Kaplan-Meier estimate
highlight2 Highlight a data.frame
imputedReg Make a multiple imputed model
is.mynumeric Decide whether a vector can be treated as a numeric variable
loglogplot Draw log-log plot
maxnchar Return maximum character number except NA
modelPlot Draw coefficients/odds ratio/hazard ratio plot
modelsSummary Makes table summarizing list of models
modelsSummaryTable Makes flextable summarizing list of models
my.chisq.test2 Statistical test for categorical variables Statistical test for categorical variables
my.t.test2 Statistical test for continuous variables
mycphSimple Fit Simple Proportional Hazards Regression Model
myformat Convert data.frame to printable format
myft Convert data.frame into flextable
mysurvregSimple Fit Simple AFT Model
num2factor Convert a numeric column in a data.frame to a factor
num2stat Summarize numeric vector to statistical summary
OEplot Draw an Observed vs Expected plot
p2character2 Change p value to string
print.autoReg S3 method print for an object of class autoReg
print.gaze S3 method print for an object of class gaze
print.modelPlot S3 method for an class modelPlot
printdf Print function for data.frame
removeDup Remove duplicated term
residualNull Make a residual plot of NULL model
residualPlot Draw a residual plot with an object of class coxph
restoreData restore data with factor in column name
restoreData2 restore data with I() in column name
restoreData3 restore data with operator in column name
revOperator get opposite arithmetic operator
roundDf Convert numeric columns of data.frame to character
setLabel Add label to a vector
shorten Shorten an object of class gaze
showEffect Show effects of covariates
strata2df Convert a character vector to a data.frame
survfit2df Extract survival data from an object of class "survfit"
survreg2final Make final model using stepwise backward elimination
survreg2multi Make multivariable regression model by selecting univariable models with p.value below threshold