Package: autoReg 0.3.4

autoReg: Automatic Linear and Logistic Regression and Survival Analysis

Make summary tables for descriptive statistics and select explanatory variables automatically in various regression models. Support linear models, generalized linear models and cox-proportional hazard models. Generate publication-ready tables summarizing result of regression analysis and plots. The tables and plots can be exported in "HTML", "pdf('LaTex')", "docx('MS Word')" and "pptx('MS Powerpoint')" documents.

Authors:Keon-Woong Moon [aut, cre]

autoReg_0.3.4.tar.gz
autoReg_0.3.4.zip(r-4.5)autoReg_0.3.4.zip(r-4.4)autoReg_0.3.4.zip(r-4.3)
autoReg_0.3.4.tgz(r-4.4-any)autoReg_0.3.4.tgz(r-4.3-any)
autoReg_0.3.4.tar.gz(r-4.5-noble)autoReg_0.3.4.tar.gz(r-4.4-noble)
autoReg_0.3.4.tgz(r-4.4-emscripten)autoReg_0.3.4.tgz(r-4.3-emscripten)
autoReg.pdf |autoReg.html✨
autoReg/json (API)
NEWS

# Install 'autoReg' in R:

install.packages('autoReg', repos = c('https://cardiomoon.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/cardiomoon/autoreg/issues

Datasets:

anderson - Remission survival times of 42 leukemia patients
anderson1 - Remission survival times of 42 leukemia patients
anderson2 - Remission survival times of 31 leukemia patients

On CRAN:

7.43 score 46 stars 64 scripts 1.8k downloads 69 exports 178 dependencies

Last updated 12 months agofrom:e3fc7eba66. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 23 2024
R-4.5-win	OK	Nov 23 2024
R-4.5-linux	OK	Nov 23 2024
R-4.4-win	OK	Nov 23 2024
R-4.4-mac	OK	Nov 23 2024
R-4.3-win	OK	Nov 23 2024
R-4.3-mac	OK	Nov 23 2024

Exports:%>%addFitSummary addLabelData adjustedPlot adjustedPlot2 adjustedPlot2.survreg as_printable autoReg autoReg_sub autoRegCox autoRegsurvreg bootPredict countGroups coxzphplot crr2stats crrFormula df2flextable drawline expectedPlot filldown find1stDup findDup fit2final fit2lik fit2list fit2model fit2multi fit2newdata fit2stats fit2summary gaze gaze_sub gazeCat gazeCont getInteraction getN getSigVars ggcmprsk ggcmprsk2 highlight2 imputedReg is.mynumeric loglogplot maxnchar modelPlot modelsSummary modelsSummaryTable my.chisq.test2 my.t.test2 mycphSimple myformat myft mysurvregSimple num2factor num2stat OEplot p2character2 printdf removeDup residualNull residualPlot select setLabel shorten showEffect strata2df survfit2df survreg2final survreg2multi

Dependencies:askpass backports base64enc bigD bit bit64 bitops boot broom bslib cachem cards checkmate cli clipr cluster cmprsk codetools colorspace commonmark cpp11 crayon curl data.table datawizard diagram digest doParallel dplyr evaluate exactRankTests fansi farver fastmap flextable fontawesome fontBitstreamVera fontLiberation fontquiver forcats foreach foreign Formula fs future future.apply gdtools generics ggplot2 glmnet globals glue gridExtra gt gtable gtsummary hardhat haven highr Hmisc hms htmlTable htmltools htmlwidgets insight isoband iterators janitor jomo jquerylib jsonlite juicyjuice KernSmooth knitr labeling lattice lava lazyeval lifecycle listenv lme4 lubridate magrittr markdown MASS Matrix MatrixModels maxstat memoise mets mgcv mice mime minqa mitml moonBook multcomp munsell mvtnorm nlme nloptr nnet nortest numDeriv officer openssl ordinal pammtools pan parallelly patchwork pec pillar pkgconfig plotrix polspline prettyunits prodlim progress progressr Publish purrr quantreg R6 ragg ranger rappdirs RColorBrewer Rcpp RcppArmadillo RcppEigen reactable reactR readr riskRegression rlang rmarkdown rms rpart rstudioapi sandwich sass scales shape sjlabelled sjmisc snakecase SparseM SQUAREM stringi stringr survival sys systemfonts textshaping TH.data tibble tidycmprsk tidyr tidyselect timechange timereg tinytex tzdb ucminf utf8 uuid V8 vctrs viridis viridisLite vroom withr xfun xml2 yaml zip zoo

Automatic Regression Modeling

Rendered fromAutomatic_Regression_Modeling.Rmdusingknitr::rmarkdownon Nov 23 2024.

Last update: 2022-01-05
Started: 2022-01-04

Bootstrap Simulation for model prediction

Rendered fromBootstrap_Prediction.Rmdusingknitr::rmarkdownon Nov 23 2024.

Last update: 2022-01-05
Started: 2022-01-04

Getting started

Rendered fromGetting_started.Rmdusingknitr::rmarkdownon Nov 23 2024.

Last update: 2022-01-06
Started: 2022-01-04

Statistical tests in gaze

Rendered fromStatiastical_test_in_gaze.Rmdusingknitr::rmarkdownon Nov 23 2024.

Last update: 2022-01-05
Started: 2022-01-05

Survival Analysis

Rendered fromSurvival.Rmdusingknitr::rmarkdownon Nov 23 2024.

Last update: 2023-04-11
Started: 2021-12-29

Citation

Development and contributors

Readme and manuals

Help Manual

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