CRAN Package Check Results for Package prediction

Last updated on 2024-04-25 08:00:02 CEST.

Flavor	Version	T_install	T_check	T_total	Status
r-devel-linux-x86_64-debian-gcc	0.3.17	4.75	39.83	44.58	OK
r-devel-linux-x86_64-fedora-clang	0.3.17			77.07	OK
r-devel-linux-x86_64-fedora-gcc	0.3.17			101.33	ERROR
r-release-macos-arm64	0.3.17			36.00	ERROR
r-release-macos-x86_64	0.3.17			89.00	ERROR
r-oldrel-macos-arm64	0.3.17			38.00	ERROR
r-oldrel-macos-x86_64	0.3.17			78.00	ERROR

Additional issues

M1mac

Check Details

Version: 0.3.17
Check: tests
Result: ERROR Running ‘testthat-prediction.R’ [32s/33s] Running the tests in ‘tests/testthat-prediction.R’ failed. Complete output: > library("testthat") > library("prediction") > test_check("prediction") cyl x 4 26.38 6 20.63 8 14.88 (Intercept) tensionM tensionH 36.38889 -10.00000 -14.72222 [ FAIL 4 | WARN 2 | SKIP 0 | PASS 190 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('tests-methods.R:40:9'): Test prediction() for 'glimQL' ────────────── Error in `model[["call"]]`: this S4 class is not subsettable Backtrace: ▆ 1. ├─prediction::prediction(m) at tests-methods.R:40:9 2. └─prediction:::prediction.glimQL(m) 3. ├─prediction::find_data(model, parent.frame()) 4. └─prediction:::find_data.default(model, parent.frame()) ── Error ('tests-methods.R:130:9'): Test prediction() for 'naiveBayes' ───────── Error in `match.arg(type)`: 'arg' should be one of "class", "raw" Backtrace: ▆ 1. ├─prediction::prediction(m) at tests-methods.R:130:9 2. └─prediction:::prediction.default(m) 3. ├─stats::predict(...) 4. └─e1071:::predict.naiveBayes(...) 5. └─base::match.arg(type) ── Error ('tests-methods.R:275:9'): Test prediction() for 'lda' ──────────────── Error in `data.frame(..., check.rows = FALSE, check.names = FALSE, fix.empty.names = FALSE, stringsAsFactors = FALSE)`: arguments imply differing number of rows: 75, 0 Backtrace: ▆ 1. ├─prediction::prediction(m, data = train) at tests-methods.R:275:9 2. └─prediction:::prediction.default(m, data = train) 3. └─prediction:::make_data_frame(data, fitted = tmp[["fit"]], se.fitted = tmp[["se.fit"]]) 4. └─base::data.frame(...) ── Error ('tests-methods.R:306:9'): Test prediction() for 'qda' ──────────────── Error in `data.frame(..., check.rows = FALSE, check.names = FALSE, fix.empty.names = FALSE, stringsAsFactors = FALSE)`: arguments imply differing number of rows: 75, 0 Backtrace: ▆ 1. ├─prediction::prediction(m, data = train) at tests-methods.R:306:9 2. └─prediction:::prediction.default(m, data = train) 3. └─prediction:::make_data_frame(data, fitted = tmp[["fit"]], se.fitted = tmp[["se.fit"]]) 4. └─base::data.frame(...) [ FAIL 4 | WARN 2 | SKIP 0 | PASS 190 ] Error: Test failures Execution halted Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 0.3.17
Check: tests
Result: ERROR Running ‘testthat-prediction.R’ [8s/11s] Running the tests in ‘tests/testthat-prediction.R’ failed. Last 13 lines of output: 3. └─prediction:::make_data_frame(data, fitted = tmp[["fit"]], se.fitted = tmp[["se.fit"]]) 4. └─base::data.frame(...) ── Error ('tests-methods.R:306:9'): Test prediction() for 'qda' ──────────────── Error in `data.frame(..., check.rows = FALSE, check.names = FALSE, fix.empty.names = FALSE, stringsAsFactors = FALSE)`: arguments imply differing number of rows: 75, 0 Backtrace: ▆ 1. ├─prediction::prediction(m, data = train) at tests-methods.R:306:9 2. └─prediction:::prediction.default(m, data = train) 3. └─prediction:::make_data_frame(data, fitted = tmp[["fit"]], se.fitted = tmp[["se.fit"]]) 4. └─base::data.frame(...) [ FAIL 4 | WARN 2 | SKIP 0 | PASS 190 ] Error: Test failures Execution halted Flavor: r-release-macos-arm64

Version: 0.3.17
Check: tests
Result: ERROR Running ‘testthat-prediction.R’ [14s/28s] Running the tests in ‘tests/testthat-prediction.R’ failed. Last 13 lines of output: 3. └─prediction:::make_data_frame(data, fitted = tmp[["fit"]], se.fitted = tmp[["se.fit"]]) 4. └─base::data.frame(...) ── Error ('tests-methods.R:306:9'): Test prediction() for 'qda' ──────────────── Error in `data.frame(..., check.rows = FALSE, check.names = FALSE, fix.empty.names = FALSE, stringsAsFactors = FALSE)`: arguments imply differing number of rows: 75, 0 Backtrace: ▆ 1. ├─prediction::prediction(m, data = train) at tests-methods.R:306:9 2. └─prediction:::prediction.default(m, data = train) 3. └─prediction:::make_data_frame(data, fitted = tmp[["fit"]], se.fitted = tmp[["se.fit"]]) 4. └─base::data.frame(...) [ FAIL 4 | WARN 2 | SKIP 0 | PASS 190 ] Error: Test failures Execution halted Flavor: r-release-macos-x86_64

Version: 0.3.17
Check: tests
Result: ERROR Running ‘testthat-prediction.R’ [7s/9s] Running the tests in ‘tests/testthat-prediction.R’ failed. Last 13 lines of output: 3. └─prediction:::make_data_frame(data, fitted = tmp[["fit"]], se.fitted = tmp[["se.fit"]]) 4. └─base::data.frame(...) ── Error ('tests-methods.R:306:9'): Test prediction() for 'qda' ──────────────── Error in `data.frame(..., check.rows = FALSE, check.names = FALSE, fix.empty.names = FALSE, stringsAsFactors = FALSE)`: arguments imply differing number of rows: 75, 0 Backtrace: ▆ 1. ├─prediction::prediction(m, data = train) at tests-methods.R:306:9 2. └─prediction:::prediction.default(m, data = train) 3. └─prediction:::make_data_frame(data, fitted = tmp[["fit"]], se.fitted = tmp[["se.fit"]]) 4. └─base::data.frame(...) [ FAIL 4 | WARN 2 | SKIP 0 | PASS 190 ] Error: Test failures Execution halted Flavor: r-oldrel-macos-arm64

Version: 0.3.17
Check: tests
Result: ERROR Running ‘testthat-prediction.R’ [14s/25s] Running the tests in ‘tests/testthat-prediction.R’ failed. Last 13 lines of output: 3. └─prediction:::make_data_frame(data, fitted = tmp[["fit"]], se.fitted = tmp[["se.fit"]]) 4. └─base::data.frame(...) ── Error ('tests-methods.R:306:9'): Test prediction() for 'qda' ──────────────── Error in `data.frame(..., check.rows = FALSE, check.names = FALSE, fix.empty.names = FALSE, stringsAsFactors = FALSE)`: arguments imply differing number of rows: 75, 0 Backtrace: ▆ 1. ├─prediction::prediction(m, data = train) at tests-methods.R:306:9 2. └─prediction:::prediction.default(m, data = train) 3. └─prediction:::make_data_frame(data, fitted = tmp[["fit"]], se.fitted = tmp[["se.fit"]]) 4. └─base::data.frame(...) [ FAIL 4 | WARN 2 | SKIP 0 | PASS 190 ] Error: Test failures Execution halted Flavor: r-oldrel-macos-x86_64