pROC 1.17.0.1

pROC version 1.17.0.1 is available on CRAN now. Besides several bug fixes and small changes, it introduces more values in input of coords.

Here is an example:

library(pROC)
data(aSAH)
rocobj <- roc(aSAH$outcome, aSAH$s100b)
coords(rocobj, x = seq(0, 1, .1), input="recall", ret="precision")
#    precision
# 1        NaN
# 2  1.0000000
# 3  1.0000000
# 4  0.8601399
# 5  0.6721311
# 6  0.6307692
# 7  0.6373057
# 8  0.4803347
# 9  0.4517906
# 10 0.3997833
# 11 0.3628319

Getting the update

The update his available on CRAN now. You can update your installation by simply typing:

install.packages("pROC")

Here is the full changelog:

1.17.0.1 (2020-01-07):

Fix CRAN incoming checks as requested by CRAN.

1.17.0 (2020-12-29)

Accept more values in input of coords (issue #67).
Accept kappa for the power.roc.test of two ROC curves (issue #82).
The input argument to coords for smooth.roc curves no longer has a default.
The x argument to coords for smooth.roc can now be set to all (also the default).
Fix bootstrap roc.test and cov with smooth.roc curves.
The ggroc function can now plot smooth.roc curves (issue #86).
Remove warnings with warnPartialMatchDollar option (issue #87).
Make tests depending on vdiffr conditional (issue #88).

Xavier Robin
Published Wednesday, January 13, 2021 16:19 CET
Permalink: /blog/2021/01/13/proc-1.17.0.1
Tags: pROC
Comments: 2

Comments

By Jose Juan Pereyra Rodriguez on Friday, July 23, 2021 13:04 CEST

Hi! I have installed the pROC package a month ago with the following code without problems:
#load and call the necessary package.
install.packages ("pROC")
library ("pROC")

#import the excel.
library (readxl)
dfcor <- read_excel ("C: /Users/pe3re/Downloads/Curvas-COR-master/Curvas-COR-master/FCM.xlsx", col_types = c ("numeric", "numeric"))

roc <-roc (dfcor $ true, dfcor $ pred)

plot (roc)

auc (roc)

#we draw the curve beautiful.
#insert AUC and IC
rocobj <- plot.roc (dfcor $ true, dfcor $ pred, main = "Confidence intervals", percent = TRUE, ci = TRUE, print.auc = TRUE)

#we create object to plot the default CI at 95% CI. Boots Default: 2000.
ciobj <- ci.se (rocobj, specificities = seq (0, 100, 5))
#insert the IC
plot (ciobj, type = "shape", col = "# 1c61b6AA") # plot as a blue shape

Today I have updated to the new version and it has given me problems. I have followed the code on the page and I get the same error again when using the confidence intervals:

roc1 <- roc (true ~ pred, dfcor, percent = TRUE,
ci = TRUE, boot.n = 100, ci.alpha = 0.9, stratified = FALSE,
plot = TRUE, auc.polygon = TRUE, max.auc.polygon = TRUE, grid = TRUE,
print.auc = TRUE, show.thres = TRUE)

Error in delongPlacementsCpp (roc):
package 'Rcpp_precious_remove' does not offer function 'Rcpp'

By Xavier on Monday, December 27, 2021 10:48 CET

An answer was given on the GitHub issue tracker (#99).

Xavier Robin

pROC 1.17.0.1

Getting the update

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