CRAN Package Check Results for Package riskRegression

Last updated on 2024-11-21 19:52:47 CET.

Flavor	Version	Tinstall	Tcheck	Ttotal	Status	Flags
r-devel-linux-x86_64-debian-clang	2023.12.21	203.96	280.37	484.33	NOTE
r-devel-linux-x86_64-debian-gcc	2023.12.21	139.20	191.56	330.76	NOTE
r-devel-linux-x86_64-fedora-clang	2023.12.21			883.57	OK
r-devel-linux-x86_64-fedora-gcc	2023.12.21			757.84	ERROR
r-devel-windows-x86_64	2023.12.21	198.00	315.00	513.00	NOTE
r-patched-linux-x86_64	2023.12.21	206.49	270.76	477.25	OK
r-release-linux-x86_64	2023.12.21	185.85	273.58	459.43	OK
r-release-macos-arm64	2023.12.21			185.00	NOTE
r-release-macos-x86_64	2023.12.21			237.00	NOTE
r-release-windows-x86_64	2023.12.21	190.00	301.00	491.00	OK
r-oldrel-macos-arm64	2023.12.21			222.00	NOTE
r-oldrel-macos-x86_64	2023.12.21			346.00	NOTE
r-oldrel-windows-x86_64	2023.12.21	250.00	393.00	643.00	OK

Check Details

Version: 2023.12.21
Check: Rd cross-references
Result: NOTE Found the following Rd file(s) with Rd \link{} targets missing package anchors: CSC.Rd: coxph FGR.Rd: Hist ate.Rd: as.data.table plot.riskRegression.Rd: SmartControl plotBrier.Rd: SmartControl plotCalibration.Rd: SmartControl plotEffects.Rd: SmartControl plotPredictRisk.Rd: SmartControl plotROC.Rd: SmartControl plotRisk.Rd: SmartControl selectCox.Rd: fastbw summary.ate.Rd: as.data.table Please provide package anchors for all Rd \link{} targets not in the package itself and the base packages. Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-windows-x86_64

Version: 2023.12.21
Check: examples
Result: ERROR Running examples in ‘riskRegression-Ex.R’ failed The error most likely occurred in: > ### Name: Ctree > ### Title: S3-Wrapper for ctree. > ### Aliases: Ctree > > ### ** Examples > > if (require("party",quietly=TRUE)){ + library(prodlim) + library(party) + library(survival) + set.seed(50) + d <- SimSurv(50) + nd <- data.frame(X1=c(0,1,0),X2=c(-1,0,1)) + f <- Ctree(Surv(time,status)~X1+X2,data=d) + predictRisk(f,newdata=nd,times=c(3,8)) + } Attaching package: ‘zoo’ The following objects are masked from ‘package:base’: as.Date, as.Date.numeric Error in cbind(idxM, pidxM) : cannot get data pointer of 'NULL' objects Calls: SimSurv ... exogenous<- -> exogenous<-.lvm -> reindex -> mat.lvm -> cbind Execution halted Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 2023.12.21
Check: tests
Result: ERROR Running ‘testthat.R’ [16s/21s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/tests.html > # * https://testthat.r-lib.org/reference/test_package.html#special-files > > library(testthat) > library(riskRegression) riskRegression version 2023.12.21 > > test_check("riskRegression") [iidCox] internal consistency [predictCox] Estimation of the baseline hazard (no strata) [predictCox] Estimation of the baseline hazard (strata) [predictCox] Estimation of the baseline hazard (time varying cov, no strata) [predictCox] Estimation of the baseline hazard (time varying cov, strata) [predictCox] Predictions (no strata, continuous) [predictCoxPL] Check baseline hazard estimation vs survfit [predictRisk.rfsrc] [predictRisk.CauseSpecificCox] [predictRisk.glm] vs. lava Testing binary data with Testing survival data with Testing competing.risks data with [1] "binary" [ FAIL 24 | WARN 4 | SKIP 0 | PASS 43 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-BinomialRegression.R:11:5'): Absolute risk regression ────────── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. └─riskRegression::sampleData(300, outcome = "competing.risks") at test-BinomialRegression.R:11:5 2. ├─lava::`distribution<-`(...) 3. └─lava:::`distribution<-.lvm`(...) 4. ├─lava::`addvar<-`(`*tmp*`, value = as.formula(paste("~", variable))) 5. └─lava:::`addvar<-.lvm`(...) 6. ├─lava::`regression<-`(`*tmp*`, ..., value = value) 7. └─lava:::`regression<-.lvm`(`*tmp*`, ..., value = value) 8. └─lava::procformula(object, value, ...) 9. ├─lava::`exogenous<-`(...) 10. └─lava:::`exogenous<-.lvm`(...) 11. └─lava::reindex(x) 12. └─lava:::mat.lvm(x, res) 13. └─base::cbind(idxM, pidxM) ── Error ('test-BinomialRegression.R:33:5'): Logistic risk regression ────────── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. └─prodlim::SimCompRisk(100) at test-BinomialRegression.R:33:5 2. └─prodlim::crModel() 3. ├─lava::`distribution<-`(`*tmp*`, "eventtime1", value = lava::coxWeibull.lvm(scale = 1/100)) 4. └─lava:::`distribution<-.lvm`(`*tmp*`, "eventtime1", value = lava::coxWeibull.lvm(scale = 1/100)) 5. ├─lava::`addvar<-`(`*tmp*`, value = as.formula(paste("~", variable))) 6. └─lava:::`addvar<-.lvm`(...) 7. ├─lava::`regression<-`(`*tmp*`, ..., value = value) 8. └─lava:::`regression<-.lvm`(`*tmp*`, ..., value = value) 9. └─lava::procformula(object, value, ...) 10. ├─lava::`exogenous<-`(...) 11. └─lava:::`exogenous<-.lvm`(...) 12. └─lava::reindex(x) 13. └─lava:::mat.lvm(x, res) 14. └─base::cbind(idxM, pidxM) ── Error ('test-CauseSpecificCoxRegression.R:40:9'): predictSurv ─────────────── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. └─prodlim::SimSurv(100) at test-CauseSpecificCoxRegression.R:40:9 2. └─prodlim::survModel() 3. └─lava::lvm(~eventtime + censtime) 4. ├─lava::`regression<-`(`*tmp*`, messages = messages, value = myvar) 5. └─lava:::`regression<-.lvm`(`*tmp*`, messages = messages, value = myvar) 6. └─lava::procformula(object, value, ...) 7. ├─lava::`exogenous<-`(...) 8. └─lava:::`exogenous<-.lvm`(...) 9. └─lava::reindex(x) 10. └─lava:::mat.lvm(x, res) 11. └─base::cbind(idxM, pidxM) ── Error ('test-CauseSpecificCoxRegression.R:54:5'): Cox models ──────────────── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. └─prodlim::SimCompRisk(100) at test-CauseSpecificCoxRegression.R:54:5 2. └─prodlim::crModel() 3. ├─lava::`distribution<-`(`*tmp*`, "eventtime1", value = lava::coxWeibull.lvm(scale = 1/100)) 4. └─lava:::`distribution<-.lvm`(`*tmp*`, "eventtime1", value = lava::coxWeibull.lvm(scale = 1/100)) 5. ├─lava::`addvar<-`(`*tmp*`, value = as.formula(paste("~", variable))) 6. └─lava:::`addvar<-.lvm`(...) 7. ├─lava::`regression<-`(`*tmp*`, ..., value = value) 8. └─lava:::`regression<-.lvm`(`*tmp*`, ..., value = value) 9. └─lava::procformula(object, value, ...) 10. ├─lava::`exogenous<-`(...) 11. └─lava:::`exogenous<-.lvm`(...) 12. └─lava::reindex(x) 13. └─lava:::mat.lvm(x, res) 14. └─base::cbind(idxM, pidxM) ── Error ('test-CauseSpecificCoxRegression.R:67:5'): strata ──────────────────── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. └─prodlim::SimCompRisk(100) at test-CauseSpecificCoxRegression.R:67:5 2. └─prodlim::crModel() 3. ├─lava::`distribution<-`(`*tmp*`, "eventtime1", value = lava::coxWeibull.lvm(scale = 1/100)) 4. └─lava:::`distribution<-.lvm`(`*tmp*`, "eventtime1", value = lava::coxWeibull.lvm(scale = 1/100)) 5. ├─lava::`addvar<-`(`*tmp*`, value = as.formula(paste("~", variable))) 6. └─lava:::`addvar<-.lvm`(...) 7. ├─lava::`regression<-`(`*tmp*`, ..., value = value) 8. └─lava:::`regression<-.lvm`(`*tmp*`, ..., value = value) 9. └─lava::procformula(object, value, ...) 10. ├─lava::`exogenous<-`(...) 11. └─lava:::`exogenous<-.lvm`(...) 12. └─lava::reindex(x) 13. └─lava:::mat.lvm(x, res) 14. └─base::cbind(idxM, pidxM) ── Error ('test-FineGrayRegression.R:9:5'): Formula interface ────────────────── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. └─prodlim::SimCompRisk(100) at test-FineGrayRegression.R:9:5 2. └─prodlim::crModel() 3. ├─lava::`distribution<-`(`*tmp*`, "eventtime1", value = lava::coxWeibull.lvm(scale = 1/100)) 4. └─lava:::`distribution<-.lvm`(`*tmp*`, "eventtime1", value = lava::coxWeibull.lvm(scale = 1/100)) 5. ├─lava::`addvar<-`(`*tmp*`, value = as.formula(paste("~", variable))) 6. └─lava:::`addvar<-.lvm`(...) 7. ├─lava::`regression<-`(`*tmp*`, ..., value = value) 8. └─lava:::`regression<-.lvm`(`*tmp*`, ..., value = value) 9. └─lava::procformula(object, value, ...) 10. ├─lava::`exogenous<-`(...) 11. └─lava:::`exogenous<-.lvm`(...) 12. └─lava::reindex(x) 13. └─lava:::mat.lvm(x, res) 14. └─base::cbind(idxM, pidxM) ── Error ('test-iidCox.R:35:1'): (code run outside of `test_that()`) ─────────── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. └─riskRegression::sampleData(20, outcome = "survival") at test-iidCox.R:35:1 2. ├─lava::`distribution<-`(...) 3. └─lava:::`distribution<-.lvm`(...) 4. ├─lava::`addvar<-`(`*tmp*`, value = as.formula(paste("~", variable))) 5. └─lava:::`addvar<-.lvm`(...) 6. ├─lava::`regression<-`(`*tmp*`, ..., value = value) 7. └─lava:::`regression<-.lvm`(`*tmp*`, ..., value = value) 8. └─lava::procformula(object, value, ...) 9. ├─lava::`exogenous<-`(...) 10. └─lava:::`exogenous<-.lvm`(...) 11. └─lava::reindex(x) 12. └─lava:::mat.lvm(x, res) 13. └─base::cbind(idxM, pidxM) ── Error ('test-phreg.R:32:1'): (code run outside of `test_that()`) ──────────── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. └─riskRegression::sampleData(50, outcome = "survival") at test-phreg.R:32:1 2. ├─lava::`distribution<-`(...) 3. └─lava:::`distribution<-.lvm`(...) 4. ├─lava::`addvar<-`(`*tmp*`, value = as.formula(paste("~", variable))) 5. └─lava:::`addvar<-.lvm`(...) 6. ├─lava::`regression<-`(`*tmp*`, ..., value = value) 7. └─lava:::`regression<-.lvm`(`*tmp*`, ..., value = value) 8. └─lava::procformula(object, value, ...) 9. ├─lava::`exogenous<-`(...) 10. └─lava:::`exogenous<-.lvm`(...) 11. └─lava::reindex(x) 12. └─lava:::mat.lvm(x, res) 13. └─base::cbind(idxM, pidxM) ── Error ('test-plotRisk.R:27:2'): More than one competing risk ──────────────── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. └─riskRegression::sampleData(80, outcome = "competing.risk") at test-plotRisk.R:27:2 2. ├─lava::`distribution<-`(...) 3. └─lava:::`distribution<-.lvm`(...) 4. ├─lava::`addvar<-`(`*tmp*`, value = as.formula(paste("~", variable))) 5. └─lava:::`addvar<-.lvm`(...) 6. ├─lava::`regression<-`(`*tmp*`, ..., value = value) 7. └─lava:::`regression<-.lvm`(`*tmp*`, ..., value = value) 8. └─lava::procformula(object, value, ...) 9. ├─lava::`exogenous<-`(...) 10. └─lava:::`exogenous<-.lvm`(...) 11. └─lava::reindex(x) 12. └─lava:::mat.lvm(x, res) 13. └─base::cbind(idxM, pidxM) ── Error ('test-predictCox.R:191:1'): (code run outside of `test_that()`) ────── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. └─riskRegression::sampleData(50, outcome = "survival") at test-predictCox.R:191:1 2. ├─lava::`distribution<-`(...) 3. └─lava:::`distribution<-.lvm`(...) 4. ├─lava::`addvar<-`(`*tmp*`, value = as.formula(paste("~", variable))) 5. └─lava:::`addvar<-.lvm`(...) 6. ├─lava::`regression<-`(`*tmp*`, ..., value = value) 7. └─lava:::`regression<-.lvm`(`*tmp*`, ..., value = value) 8. └─lava::procformula(object, value, ...) 9. ├─lava::`exogenous<-`(...) 10. └─lava:::`exogenous<-.lvm`(...) 11. └─lava::reindex(x) 12. └─lava:::mat.lvm(x, res) 13. └─base::cbind(idxM, pidxM) ── Error ('test-predictCoxPL.R:27:1'): (code run outside of `test_that()`) ───── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. └─riskRegression::sampleData(25, outcome = "survival") at test-predictCoxPL.R:27:1 2. ├─lava::`distribution<-`(...) 3. └─lava:::`distribution<-.lvm`(...) 4. ├─lava::`addvar<-`(`*tmp*`, value = as.formula(paste("~", variable))) 5. └─lava:::`addvar<-.lvm`(...) 6. ├─lava::`regression<-`(`*tmp*`, ..., value = value) 7. └─lava:::`regression<-.lvm`(`*tmp*`, ..., value = value) 8. └─lava::procformula(object, value, ...) 9. ├─lava::`exogenous<-`(...) 10. └─lava:::`exogenous<-.lvm`(...) 11. └─lava::reindex(x) 12. └─lava:::mat.lvm(x, res) 13. └─base::cbind(idxM, pidxM) ── Error ('test-predictRisk-TD.R:51:5'): start stop CauseSpecificCox ─────────── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. └─riskRegression::sampleData(201, outcome = "competing.risk") at test-predictRisk-TD.R:51:5 2. ├─lava::`distribution<-`(...) 3. └─lava:::`distribution<-.lvm`(...) 4. ├─lava::`addvar<-`(`*tmp*`, value = as.formula(paste("~", variable))) 5. └─lava:::`addvar<-.lvm`(...) 6. ├─lava::`regression<-`(`*tmp*`, ..., value = value) 7. └─lava:::`regression<-.lvm`(`*tmp*`, ..., value = value) 8. └─lava::procformula(object, value, ...) 9. ├─lava::`exogenous<-`(...) 10. └─lava:::`exogenous<-.lvm`(...) 11. └─lava::reindex(x) 12. └─lava:::mat.lvm(x, res) 13. └─base::cbind(idxM, pidxM) ── Error ('test-predictRisk.R:49:5'): Prediction with CSC - categorical cause ── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. └─prodlim::SimCompRisk(n) at test-predictRisk.R:49:5 2. └─prodlim::crModel() 3. ├─lava::`distribution<-`(`*tmp*`, "eventtime1", value = lava::coxWeibull.lvm(scale = 1/100)) 4. └─lava:::`distribution<-.lvm`(`*tmp*`, "eventtime1", value = lava::coxWeibull.lvm(scale = 1/100)) 5. ├─lava::`addvar<-`(`*tmp*`, value = as.formula(paste("~", variable))) 6. └─lava:::`addvar<-.lvm`(...) 7. ├─lava::`regression<-`(`*tmp*`, ..., value = value) 8. └─lava:::`regression<-.lvm`(`*tmp*`, ..., value = value) 9. └─lava::procformula(object, value, ...) 10. ├─lava::`exogenous<-`(...) 11. └─lava:::`exogenous<-.lvm`(...) 12. └─lava::reindex(x) 13. └─lava:::mat.lvm(x, res) 14. └─base::cbind(idxM, pidxM) ── Error ('test-predictRisk.R:90:1'): (code run outside of `test_that()`) ────── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. └─riskRegression::sampleData(n, outcome = "binary") at test-predictRisk.R:90:1 2. ├─lava::`distribution<-`(...) 3. └─lava:::`distribution<-.lvm`(...) 4. ├─lava::`addvar<-`(`*tmp*`, value = as.formula(paste("~", variable))) 5. └─lava:::`addvar<-.lvm`(...) 6. ├─lava::`regression<-`(`*tmp*`, ..., value = value) 7. └─lava:::`regression<-.lvm`(`*tmp*`, ..., value = value) 8. └─lava::procformula(object, value, ...) 9. ├─lava::`exogenous<-`(...) 10. └─lava:::`exogenous<-.lvm`(...) 11. └─lava::reindex(x) 12. └─lava:::mat.lvm(x, res) 13. └─base::cbind(idxM, pidxM) ── Error ('test-score-train-test.R:20:7'): Testing binary data with ─────────── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. └─riskRegression::sampleData(n = train.sample.size, outcome = typ$data) at test-score-train-test.R:20:7 2. ├─lava::`distribution<-`(...) 3. └─lava:::`distribution<-.lvm`(...) 4. ├─lava::`addvar<-`(`*tmp*`, value = as.formula(paste("~", variable))) 5. └─lava:::`addvar<-.lvm`(...) 6. ├─lava::`regression<-`(`*tmp*`, ..., value = value) 7. └─lava:::`regression<-.lvm`(`*tmp*`, ..., value = value) 8. └─lava::procformula(object, value, ...) 9. ├─lava::`exogenous<-`(...) 10. └─lava:::`exogenous<-.lvm`(...) 11. └─lava::reindex(x) 12. └─lava:::mat.lvm(x, res) 13. └─base::cbind(idxM, pidxM) ── Error ('test-score-train-test.R:20:7'): Testing survival data with ───────── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. └─riskRegression::sampleData(n = train.sample.size, outcome = typ$data) at test-score-train-test.R:20:7 2. ├─lava::`distribution<-`(...) 3. └─lava:::`distribution<-.lvm`(...) 4. ├─lava::`addvar<-`(`*tmp*`, value = as.formula(paste("~", variable))) 5. └─lava:::`addvar<-.lvm`(...) 6. ├─lava::`regression<-`(`*tmp*`, ..., value = value) 7. └─lava:::`regression<-.lvm`(`*tmp*`, ..., value = value) 8. └─lava::procformula(object, value, ...) 9. ├─lava::`exogenous<-`(...) 10. └─lava:::`exogenous<-.lvm`(...) 11. └─lava::reindex(x) 12. └─lava:::mat.lvm(x, res) 13. └─base::cbind(idxM, pidxM) ── Error ('test-score-train-test.R:20:7'): Testing competing.risks data with ── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. └─riskRegression::sampleData(n = train.sample.size, outcome = typ$data) at test-score-train-test.R:20:7 2. ├─lava::`distribution<-`(...) 3. └─lava:::`distribution<-.lvm`(...) 4. ├─lava::`addvar<-`(`*tmp*`, value = as.formula(paste("~", variable))) 5. └─lava:::`addvar<-.lvm`(...) 6. ├─lava::`regression<-`(`*tmp*`, ..., value = value) 7. └─lava:::`regression<-.lvm`(`*tmp*`, ..., value = value) 8. └─lava::procformula(object, value, ...) 9. ├─lava::`exogenous<-`(...) 10. └─lava:::`exogenous<-.lvm`(...) 11. └─lava::reindex(x) 12. └─lava:::mat.lvm(x, res) 13. └─base::cbind(idxM, pidxM) ── Error ('test-score.R:33:5'): R squared/IPA ────────────────────────────────── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. └─riskRegression::sampleData(43, outcome = "binary") at test-score.R:33:5 2. ├─lava::`distribution<-`(...) 3. └─lava:::`distribution<-.lvm`(...) 4. ├─lava::`addvar<-`(`*tmp*`, value = as.formula(paste("~", variable))) 5. └─lava:::`addvar<-.lvm`(...) 6. ├─lava::`regression<-`(`*tmp*`, ..., value = value) 7. └─lava:::`regression<-.lvm`(`*tmp*`, ..., value = value) 8. └─lava::procformula(object, value, ...) 9. ├─lava::`exogenous<-`(...) 10. └─lava:::`exogenous<-.lvm`(...) 11. └─lava::reindex(x) 12. └─lava:::mat.lvm(x, res) 13. └─base::cbind(idxM, pidxM) ── Error ('test-score.R:47:5'): binary outcome: robustness against order of data set ── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. └─riskRegression::sampleData(43, outcome = "binary") at test-score.R:47:5 2. ├─lava::`distribution<-`(...) 3. └─lava:::`distribution<-.lvm`(...) 4. ├─lava::`addvar<-`(`*tmp*`, value = as.formula(paste("~", variable))) 5. └─lava:::`addvar<-.lvm`(...) 6. ├─lava::`regression<-`(`*tmp*`, ..., value = value) 7. └─lava:::`regression<-.lvm`(`*tmp*`, ..., value = value) 8. └─lava::procformula(object, value, ...) 9. ├─lava::`exogenous<-`(...) 10. └─lava:::`exogenous<-.lvm`(...) 11. └─lava::reindex(x) 12. └─lava:::mat.lvm(x, res) 13. └─base::cbind(idxM, pidxM) ── Error ('test-score.R:79:9'): survival outcome,Brier Score, external prediction ── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. └─riskRegression::sampleData(n, outcome = "survival") at test-score.R:79:9 2. ├─lava::`distribution<-`(...) 3. └─lava:::`distribution<-.lvm`(...) 4. ├─lava::`addvar<-`(`*tmp*`, value = as.formula(paste("~", variable))) 5. └─lava:::`addvar<-.lvm`(...) 6. ├─lava::`regression<-`(`*tmp*`, ..., value = value) 7. └─lava:::`regression<-.lvm`(`*tmp*`, ..., value = value) 8. └─lava::procformula(object, value, ...) 9. ├─lava::`exogenous<-`(...) 10. └─lava:::`exogenous<-.lvm`(...) 11. └─lava::reindex(x) 12. └─lava:::mat.lvm(x, res) 13. └─base::cbind(idxM, pidxM) ── Error ('test-score.R:107:9'): integrated Brier score ──────────────────────── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. └─riskRegression::sampleData(100, outcome = "survival") at test-score.R:107:9 2. ├─lava::`distribution<-`(...) 3. └─lava:::`distribution<-.lvm`(...) 4. ├─lava::`addvar<-`(`*tmp*`, value = as.formula(paste("~", variable))) 5. └─lava:::`addvar<-.lvm`(...) 6. ├─lava::`regression<-`(`*tmp*`, ..., value = value) 7. └─lava:::`regression<-.lvm`(`*tmp*`, ..., value = value) 8. └─lava::procformula(object, value, ...) 9. ├─lava::`exogenous<-`(...) 10. └─lava:::`exogenous<-.lvm`(...) 11. └─lava::reindex(x) 12. └─lava:::mat.lvm(x, res) 13. └─base::cbind(idxM, pidxM) ── Error ('test-score.R:145:9'): survival outcome uncensored ─────────────────── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. └─riskRegression::sampleData(100, outcome = "survival") at test-score.R:145:9 2. ├─lava::`distribution<-`(...) 3. └─lava:::`distribution<-.lvm`(...) 4. ├─lava::`addvar<-`(`*tmp*`, value = as.formula(paste("~", variable))) 5. └─lava:::`addvar<-.lvm`(...) 6. ├─lava::`regression<-`(`*tmp*`, ..., value = value) 7. └─lava:::`regression<-.lvm`(`*tmp*`, ..., value = value) 8. └─lava::procformula(object, value, ...) 9. ├─lava::`exogenous<-`(...) 10. └─lava:::`exogenous<-.lvm`(...) 11. └─lava::reindex(x) 12. └─lava:::mat.lvm(x, res) 13. └─base::cbind(idxM, pidxM) ── Error ('test-score.R:158:5'): binary outcome: Brier ───────────────────────── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. └─riskRegression::sampleData(n = 47, outcome = "binary") at test-score.R:158:5 2. ├─lava::`distribution<-`(...) 3. └─lava:::`distribution<-.lvm`(...) 4. ├─lava::`addvar<-`(`*tmp*`, value = as.formula(paste("~", variable))) 5. └─lava:::`addvar<-.lvm`(...) 6. ├─lava::`regression<-`(`*tmp*`, ..., value = value) 7. └─lava:::`regression<-.lvm`(`*tmp*`, ..., value = value) 8. └─lava::procformula(object, value, ...) 9. ├─lava::`exogenous<-`(...) 10. └─lava:::`exogenous<-.lvm`(...) 11. └─lava::reindex(x) 12. └─lava:::mat.lvm(x, res) 13. └─base::cbind(idxM, pidxM) ── Error ('test-summary-score.R:26:5'): (code run outside of `test_that()`) ──── Error in `cbind(idxM, pidxM)`: cannot get data pointer of 'NULL' objects Backtrace: ▆ 1. └─riskRegression::sampleData(n = 112, outcome = y) at test-summary-score.R:26:5 2. ├─lava::`distribution<-`(...) 3. └─lava:::`distribution<-.lvm`(...) 4. ├─lava::`addvar<-`(`*tmp*`, value = as.formula(paste("~", variable))) 5. └─lava:::`addvar<-.lvm`(...) 6. ├─lava::`regression<-`(`*tmp*`, ..., value = value) 7. └─lava:::`regression<-.lvm`(`*tmp*`, ..., value = value) 8. └─lava::procformula(object, value, ...) 9. ├─lava::`exogenous<-`(...) 10. └─lava:::`exogenous<-.lvm`(...) 11. └─lava::reindex(x) 12. └─lava:::mat.lvm(x, res) 13. └─base::cbind(idxM, pidxM) [ FAIL 24 | WARN 4 | SKIP 0 | PASS 43 ] Error: Test failures Execution halted Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 2023.12.21
Check: installed package size
Result: NOTE installed size is 10.2Mb sub-directories of 1Mb or more: R 1.1Mb libs 8.7Mb Flavors: r-release-macos-arm64, r-release-macos-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64