* using log directory ‘/srv/hornik/tmp/CRAN_pretest/scR.Rcheck’ * using R Under development (unstable) (2024-11-25 r87381) * using platform: x86_64-pc-linux-gnu * R was compiled by Debian clang version 19.1.1 (1) Debian flang-new version 19.1.1 (1) * running under: Debian GNU/Linux trixie/sid * using session charset: UTF-8 * checking for file ‘scR/DESCRIPTION’ ... OK * this is package ‘scR’ version ‘0.1.0’ * package encoding: UTF-8 * checking CRAN incoming feasibility ... [2s/4s] NOTE Maintainer: ‘Perry Carter ’ New submission Non-FOSS package license (`use_mit_license()`) Possibly misspelled words in DESCRIPTION: VCD (2:17) scR (10:18) Package has a VignetteBuilder field but no prebuilt vignette index. Size of tarball: 6900185 bytes * checking package namespace information ... OK * checking package dependencies ... INFO Vignette dependency required without any vignettes: ‘knitr’ * checking if this is a source package ... OK * checking if there is a namespace ... OK * checking for executable files ... OK * checking for hidden files and directories ... OK * checking for portable file names ... OK * checking for sufficient/correct file permissions ... OK * checking serialization versions ... OK * checking whether package ‘scR’ can be installed ... [39s/39s] WARNING Found the following significant warnings: Note: possible error in 'layout(yaxis = list(title = ""), ': unused arguments (yaxis = list(title = ""), legend = list(orientation = "")) See ‘/srv/hornik/tmp/CRAN_pretest/scR.Rcheck/00install.out’ for details. Information on the location(s) of code generating the ‘Note’s can be obtained by re-running with environment variable R_KEEP_PKG_SOURCE set to ‘yes’. * checking package directory ... OK * checking for future file timestamps ... OK * checking DESCRIPTION meta-information ... WARNING Non-standard license specification: `use_mit_license()` Standardizable: FALSE * checking top-level files ... NOTE File LICENSE is not mentioned in the DESCRIPTION file. * checking for left-over files ... OK * checking index information ... OK * checking package subdirectories ... OK * checking code files for non-ASCII characters ... OK * checking R files for syntax errors ... OK * checking whether the package can be loaded ... [4s/4s] OK * checking whether the package can be loaded with stated dependencies ... [0s/0s] OK * checking whether the package can be unloaded cleanly ... [0s/0s] OK * checking whether the namespace can be loaded with stated dependencies ... [0s/0s] OK * checking whether the namespace can be unloaded cleanly ... [0s/0s] OK * checking loading without being on the library search path ... [4s/4s] OK * checking use of S3 registration ... OK * checking dependencies in R code ... OK * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... [2s/2s] NOTE acc_sim: no visible binding for global variable ‘nsample’ acc_sim: no visible binding for global variable ‘dat’ acc_sim: no visible global function definition for ‘rbinom’ acc_sim: no visible binding for global variable ‘eta’ acc_sim: no visible binding for global variable ‘outcome’ acc_sim: no visible global function definition for ‘%>%’ acc_sim: no visible global function definition for ‘select’ acc_sim: no visible global function definition for ‘all_of’ acc_sim: no visible global function definition for ‘model’ acc_sim: no visible global function definition for ‘predict’ acc_sim: no visible global function definition for ‘precision’ acc_sim: no visible global function definition for ‘recall’ acc_sim: no visible global function definition for ‘F_meas’ acc_sim: no visible binding for global variable ‘power’ acc_sim: no visible binding for global variable ‘powersims’ acc_sim: no visible binding for global variable ‘effect_size’ acc_sim: no visible global function definition for ‘rnorm’ acc_sim: no visible global function definition for ‘lm’ acc_sim: no visible binding for global variable ‘alpha’ estimate_accuracy: no visible global function definition for ‘model.frame’ estimate_accuracy: no visible global function definition for ‘detectCores’ estimate_accuracy: no visible global function definition for ‘makeCluster’ estimate_accuracy: no visible global function definition for ‘clusterExport’ estimate_accuracy: no visible global function definition for ‘clusterEvalQ’ estimate_accuracy: no visible global function definition for ‘pblapply’ estimate_accuracy: no visible global function definition for ‘stopCluster’ estimate_accuracy: no visible global function definition for ‘bind_rows’ estimate_accuracy: no visible global function definition for ‘%>%’ estimate_accuracy: no visible global function definition for ‘group_by’ estimate_accuracy: no visible binding for global variable ‘n’ estimate_accuracy: no visible global function definition for ‘summarise’ estimate_accuracy: no visible binding for global variable ‘accuracy’ estimate_accuracy: no visible binding for global variable ‘prec’ estimate_accuracy: no visible binding for global variable ‘rec’ estimate_accuracy: no visible binding for global variable ‘fscore’ estimate_accuracy: no visible global function definition for ‘quantile’ estimate_accuracy: no visible binding for global variable ‘pwr’ gendata: no visible global function definition for ‘runif’ gendata: no visible global function definition for ‘predict’ getpac: no visible global function definition for ‘%>%’ getpac: no visible global function definition for ‘group_by’ getpac: no visible binding for global variable ‘n’ getpac: no visible global function definition for ‘summarise’ getpac: no visible binding for global variable ‘accuracy’ getpac: no visible binding for global variable ‘prec’ getpac: no visible binding for global variable ‘rec’ getpac: no visible binding for global variable ‘fscore’ getpac: no visible global function definition for ‘quantile’ getpac: no visible binding for global variable ‘pwr’ plot_accuracy: no visible global function definition for ‘%>%’ plot_accuracy: no visible global function definition for ‘select’ plot_accuracy: no visible binding for global variable ‘n’ plot_accuracy: no visible global function definition for ‘all_of’ plot_accuracy: no visible global function definition for ‘pivot_longer’ plot_accuracy: no visible binding for global variable ‘Accuracy’ plot_accuracy: no visible binding for global variable ‘Power’ plot_accuracy: no visible global function definition for ‘ggplot’ plot_accuracy: no visible binding for global variable ‘.’ plot_accuracy: no visible global function definition for ‘aes’ plot_accuracy: no visible binding for global variable ‘Value’ plot_accuracy: no visible binding for global variable ‘Metric’ plot_accuracy: no visible global function definition for ‘geom_line’ plot_accuracy: no visible global function definition for ‘plot_ly’ plot_accuracy: no visible global function definition for ‘layout’ risk_bounds: no visible binding for global variable ‘m’ risk_bounds: no visible binding for global variable ‘l’ risk_bounds: no visible global function definition for ‘rnorm’ risk_bounds: no visible global function definition for ‘bind_rows’ risk_bounds: no visible global function definition for ‘model’ risk_bounds: no visible global function definition for ‘predict’ simvcd: no visible global function definition for ‘detectCores’ simvcd: no visible global function definition for ‘makeCluster’ simvcd: no visible global function definition for ‘clusterExport’ simvcd: no visible global function definition for ‘clusterEvalQ’ simvcd: no visible global function definition for ‘pbsapply’ simvcd: no visible global function definition for ‘res2stopCluster’ simvcd: no visible global function definition for ‘optim’ Undefined global functions or variables: %>% . Accuracy F_meas Metric Power Value accuracy aes all_of alpha bind_rows clusterEvalQ clusterExport dat detectCores effect_size eta fscore geom_line ggplot group_by l layout lm m makeCluster model model.frame n nsample optim outcome pblapply pbsapply pivot_longer plot_ly power powersims prec precision predict pwr quantile rbinom rec recall res2stopCluster rnorm runif select stopCluster summarise Consider adding importFrom("graphics", "layout") importFrom("stats", "lm", "model.frame", "optim", "power", "predict", "quantile", "rbinom", "rnorm", "runif") to your NAMESPACE file. * checking Rd files ... [0s/0s] OK * checking Rd metadata ... OK * checking Rd line widths ... NOTE Rd file 'estimate_accuracy.Rd': \examples lines wider than 100 characters: out <- factor(ifelse(out>0.5,1,0),levels=c("0","1")) #Important - must specify levels to account for possibility of all observations be ... [TRUNCATED] #results <- estimate_accuracy(two_year_recid ~ race + sex + age + juv_fel_count + juv_misd_count + priors_count + charge_degree..misd.f ... [TRUNCATED] Rd file 'gendata.Rd': \examples lines wider than 100 characters: out <- factor(ifelse(out>0.5,1,0),levels=c("0","1")) #Important - must specify levels to account for possibility of all observations be ... [TRUNCATED] formula <- two_year_recid ~ race + sex + age + juv_fel_count + juv_misd_count + priors_count + charge_degree..misd.fel. Rd file 'getpac.Rd': \examples lines wider than 100 characters: out <- factor(ifelse(out>0.5,1,0),levels=c("0","1")) #Important - must specify levels to account for possibility of all observations be ... [TRUNCATED] #results <- estimate_accuracy(two_year_recid ~ race + sex + age + juv_fel_count + juv_misd_count + priors_count + charge_degree..misd.f ... [TRUNCATED] Rd file 'plot_accuracy.Rd': \examples lines wider than 100 characters: out <- factor(ifelse(out>0.5,1,0),levels=c("0","1")) #Important - must specify levels to account for possibility of all observations be ... [TRUNCATED] #results <- estimate_accuracy(two_year_recid ~ race + sex + age + juv_fel_count + juv_misd_count + priors_count + charge_degree..misd.f ... [TRUNCATED] Rd file 'scb.Rd': \examples lines wider than 100 characters: out <- factor(ifelse(out>0.5,1,0),levels=c("0","1")) #Important - must specify levels to account for possibility of all observations be ... [TRUNCATED] #scb(epsilon=0.05,delta=0.05,eta=0.05,theor=FALSE,model=mylogit,dim=7,m=100,k=100,maxn=500,predictfn = mypred) Rd file 'simvcd.Rd': \examples lines wider than 100 characters: out <- factor(ifelse(out>0.5,1,0),levels=c("0","1")) #Important - must specify levels to account for possibility of all observations be ... [TRUNCATED] #vcd <- simvcd(model=mylogit,dim=7,m=100,k=100,maxn=500,predictfn = mypred) #Takes about 20 minutes to run on mid-range test machine (I ... [TRUNCATED] These lines will be truncated in the PDF manual. * checking Rd cross-references ... NOTE Found the following Rd file(s) with Rd \link{} targets missing package anchors: plot_accuracy.Rd: ggplot2, plotly Please provide package anchors for all Rd \link{} targets not in the package itself and the base packages. * checking for missing documentation entries ... OK * checking for code/documentation mismatches ... OK * checking Rd \usage sections ... OK * checking Rd contents ... OK * checking for unstated dependencies in examples ... OK * checking contents of ‘data’ directory ... OK * checking data for non-ASCII characters ... [24s/24s] OK * checking LazyData ... WARNING LazyData DB of 71.1 MB without LazyDataCompression set See §1.1.6 of 'Writing R Extensions' * checking data for ASCII and uncompressed saves ... OK * checking examples ... [6s/6s] OK * checking PDF version of manual ... [2s/2s] OK * checking HTML version of manual ... [0s/0s] OK * checking for non-standard things in the check directory ... OK * checking for detritus in the temp directory ... OK * DONE Status: 3 WARNINGs, 5 NOTEs