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genlogo.R | ||
.gitignore | ||
^codecov\.yml$ | ||
^revdep$ | ||
^_pkgdown\.yml$ | ||
^figure$ | ||
^pkgdown$ | ||
^Meta$ | ||
NEWS | ||
#^doc$ | ||
#All packages | ||
^.*\.Rproj$ | ||
^\.Rproj\.user$ | ||
^\.gitignore$ | ||
^NEWS$ | ||
#For the pkgdown website | ||
^docs*$ | ||
#For the cached chunks of README.Rmd | ||
^cache*$ | ||
^README_cache*$ | ||
#If README too big, not on CRAN but only on git | ||
^man/figures*$ | ||
^man/figures/README-chunk.*$ | ||
^README\.Rmd$ | ||
^README\.md$ | ||
#^README\.md$ | ||
#Specific | ||
^articles*$ | ||
^fullrespdf*$ | ||
^inst/animation*$ | ||
^articles*$ | ||
^\.github$ |
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.Rproj.user | ||
# History files | ||
.Rhistory | ||
.Rapp.history | ||
# Session Data files | ||
.RData | ||
# User-specific files | ||
.Ruserdata | ||
# Example code in package build process | ||
*-Ex.R | ||
# Output files from R CMD build | ||
/*.tar.gz | ||
# Output files from R CMD check | ||
/*.Rcheck/ | ||
# RStudio files | ||
.Rproj.user/ | ||
.Rproj.user/* | ||
.DS_Store | ||
*.pper | ||
.Rproj.user/AF86C25B/pcs/source-pane.pper | ||
.Rproj.user/AF86C25B/pcs/windowlayoutstate.pper | ||
.DS_Store | ||
#doc | ||
Meta |
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Package: plsRcox | ||
Version: 1.7.5 | ||
Date: 2019-04-26 | ||
Version: 1.7.6 | ||
Date: 2021-03-18 | ||
Depends: R (>= 2.4.0) | ||
biocViews: | ||
Imports: survival, plsRglm, lars, pls, kernlab, mixOmics, risksetROC, survcomp, survAUC, rms | ||
|
@@ -15,7 +15,7 @@ Maintainer: Frederic Bertrand <[email protected]> | |
Description: Provides Partial least squares Regression and various regular, sparse or kernel, techniques for fitting Cox models in high dimensional settings <doi:10.1093/bioinformatics/btu660>, Bastien, P., Bertrand, F., Meyer N., Maumy-Bertrand, M. (2015), Deviance residuals-based sparse PLS and sparse kernel PLS regression for censored data, Bioinformatics, 31(3):397-404. Cross validation criteria were studied in <arXiv:1810.02962>, Bertrand, F., Bastien, Ph. and Maumy-Bertrand, M. (2018), Cross validating extensions of kernel, sparse or regular partial least squares regression models to censored data. | ||
License: GPL-3 | ||
Encoding: UTF-8 | ||
URL: http://www-irma.u-strasbg.fr/~fbertran/, https://github.com/fbertran/plsRcox | ||
BugReports: https://github.com/fbertran/plsRcox/issues | ||
URL: http://fbertran.github.io/plsRcox/, https://github.com/fbertran/plsRcox/ | ||
BugReports: https://github.com/fbertran/plsRcox/issues/ | ||
Classification/MSC: 62N01, 62N02, 62N03, 62N99 | ||
RoxygenNote: 6.1.1 | ||
RoxygenNote: 7.1.1 |
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# imports functions | ||
#import(boot) | ||
import(survival) | ||
# Generated by roxygen2: do not edit by hand | ||
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S3method(DKplsRcoxmodel,default) | ||
S3method(DKplsRcoxmodel,formula) | ||
S3method(coxDKpls2DR,default) | ||
S3method(coxDKpls2DR,formula) | ||
S3method(coxDKplsDR,default) | ||
S3method(coxDKplsDR,formula) | ||
S3method(coxDKsplsDR,default) | ||
S3method(coxDKsplsDR,formula) | ||
S3method(coxpls,default) | ||
S3method(coxpls,formula) | ||
S3method(coxpls2,default) | ||
S3method(coxpls2,formula) | ||
S3method(coxpls2DR,default) | ||
S3method(coxpls2DR,formula) | ||
S3method(coxpls3,default) | ||
S3method(coxpls3,formula) | ||
S3method(coxpls3DR,default) | ||
S3method(coxpls3DR,formula) | ||
S3method(coxplsDR,default) | ||
S3method(coxplsDR,formula) | ||
S3method(coxsplsDR,default) | ||
S3method(coxsplsDR,formula) | ||
S3method(larsDR_coxph,default) | ||
S3method(larsDR_coxph,formula) | ||
S3method(plsRcoxmodel,default) | ||
S3method(plsRcoxmodel,formula) | ||
S3method(predict,plsRcoxmodel) | ||
S3method(print,plsRcoxmodel) | ||
S3method(print,summary.plsRcoxmodel) | ||
S3method(summary,plsRcoxmodel) | ||
export(DKplsRcox) | ||
export(DKplsRcoxmodel) | ||
export(DR_coxph) | ||
export(coxDKpls2DR) | ||
export(coxDKplsDR) | ||
export(coxDKsplsDR) | ||
export(coxpls) | ||
export(coxpls2) | ||
export(coxpls2DR) | ||
export(coxpls3) | ||
export(coxpls3DR) | ||
export(coxplsDR) | ||
export(coxsplsDR) | ||
export(cv.autoplsRcox) | ||
export(cv.coxDKplsDR) | ||
export(cv.coxDKsplsDR) | ||
export(cv.coxpls) | ||
export(cv.coxplsDR) | ||
export(cv.coxsplsDR) | ||
export(cv.larsDR) | ||
export(cv.plsRcox) | ||
export(larsDR_coxph) | ||
export(plsRcox) | ||
export(plsRcoxmodel) | ||
import(kernlab) | ||
import(lars) | ||
import(mixOmics) | ||
import(pls) | ||
import(plsRglm) | ||
import(mixOmics) | ||
import(risksetROC) | ||
import(survcomp) | ||
import(survAUC) | ||
import(rms) | ||
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||
importFrom("grDevices", "dev.new") | ||
importFrom("graphics", "abline", "axis", "layout", "segments") | ||
importFrom("stats", "as.formula", "complete.cases", "contrasts", | ||
"extractAIC", "is.empty.model", "median", "model.matrix", | ||
"model.response", "model.weights", "residuals", "uniroot", | ||
"var", "weighted.mean") | ||
importFrom("utils", "head") | ||
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# functions | ||
export(DR_coxph ) | ||
export(larsDR_coxph ) | ||
export(larsDR_coxph.default) | ||
export(larsDR_coxph.formula) | ||
export(coxpls ) | ||
export(coxpls.default ) | ||
export(coxpls.formula ) | ||
export(coxpls2 ) | ||
export(coxpls2.default ) | ||
export(coxpls2.formula ) | ||
export(coxpls3 ) | ||
export(coxpls3.default ) | ||
export(coxpls3.formula ) | ||
export(coxplsDR ) | ||
export(coxplsDR.default ) | ||
export(coxplsDR.formula ) | ||
export(coxpls2DR ) | ||
export(coxpls2DR.default ) | ||
export(coxpls2DR.formula ) | ||
export(coxpls3DR ) | ||
export(coxpls3DR.default ) | ||
export(coxpls3DR.formula ) | ||
export(coxsplsDR ) | ||
export(coxsplsDR.default ) | ||
export(coxsplsDR.formula ) | ||
export(coxDKplsDR ) | ||
export(coxDKplsDR.default ) | ||
export(coxDKplsDR.formula ) | ||
export(coxDKpls2DR ) | ||
export(coxDKpls2DR.default ) | ||
export(coxDKpls2DR.formula ) | ||
export(coxDKsplsDR ) | ||
export(coxDKsplsDR.default ) | ||
export(coxDKsplsDR.formula ) | ||
export(cv.autoplsRcox ) | ||
export(cv.coxDKplsDR ) | ||
export(cv.coxDKsplsDR ) | ||
export(cv.coxpls ) | ||
export(cv.coxplsDR ) | ||
export(cv.coxsplsDR ) | ||
export(cv.larsDR ) | ||
export(cv.plsRcox ) | ||
export(DKplsRcox ) | ||
export(DKplsRcoxmodel.default ) | ||
export(DKplsRcoxmodel.formula ) | ||
#export(bootplscox ) | ||
#export(coefs.plsRcox ) | ||
#export(kfolds2CVinfos_cox ) | ||
#export(permcoefs.plsRcox ) | ||
#export(PLS_cox_kfoldcv ) | ||
#export(PLS_cox_kfoldcv_formula ) | ||
#export(PLS_cox_wvc ) | ||
export(plsRcox ) | ||
export(plsRcoxmodel.default ) | ||
export(plsRcoxmodel.formula ) | ||
export(predict.plsRcoxmodel ) | ||
export(print.plsRcoxmodel ) | ||
export(print.summary.plsRcoxmodel) | ||
#export(simul_data_UniYX_cox ) | ||
export(summary.plsRcoxmodel ) | ||
#export(tilt.bootplscox ) | ||
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||
|
||
S3method("plsRcoxmodel", "default") | ||
S3method("plsRcoxmodel", "formula") | ||
S3method("DKplsRcoxmodel", "default") | ||
S3method("DKplsRcoxmodel", "formula") | ||
|
||
## S3 methods for generics in base | ||
S3method("predict", "plsRcoxmodel") | ||
S3method("print", "plsRcoxmodel") | ||
S3method("summary", "plsRcoxmodel") | ||
S3method("print", "summary.plsRcoxmodel") | ||
S3method("coxDKplsDR", "formula") | ||
S3method("coxDKplsDR", "default") | ||
S3method("coxDKpls2DR", "formula") | ||
S3method("coxDKpls2DR", "default") | ||
S3method("coxDKsplsDR", "formula") | ||
S3method("coxDKsplsDR", "default") | ||
S3method("coxplsDR", "formula") | ||
S3method("coxplsDR", "default") | ||
S3method("coxpls2DR", "formula") | ||
S3method("coxpls2DR", "default") | ||
S3method("coxpls3DR", "formula") | ||
S3method("coxpls3DR", "default") | ||
S3method("coxsplsDR", "formula") | ||
S3method("coxsplsDR", "default") | ||
S3method("larsDR_coxph", "formula") | ||
S3method("larsDR_coxph", "default") | ||
S3method("coxpls", "formula") | ||
S3method("coxpls", "default") | ||
S3method("coxpls2", "formula") | ||
S3method("coxpls2", "default") | ||
S3method("coxpls3", "formula") | ||
S3method("coxpls3", "default") | ||
|
||
import(survAUC) | ||
import(survcomp) | ||
import(survival) | ||
importFrom(grDevices,dev.new) | ||
importFrom(graphics,abline) | ||
importFrom(graphics,axis) | ||
importFrom(graphics,layout) | ||
importFrom(graphics,segments) | ||
importFrom(stats,as.formula) | ||
importFrom(stats,complete.cases) | ||
importFrom(stats,contrasts) | ||
importFrom(stats,extractAIC) | ||
importFrom(stats,is.empty.model) | ||
importFrom(stats,median) | ||
importFrom(stats,model.matrix) | ||
importFrom(stats,model.response) | ||
importFrom(stats,model.weights) | ||
importFrom(stats,residuals) | ||
importFrom(stats,uniroot) | ||
importFrom(stats,var) | ||
importFrom(stats,weighted.mean) | ||
importFrom(utils,head) |
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