CRAN Package Check Results for Package KFAS

Last updated on 2025-02-21 02:52:14 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.5.1 28.68 121.97 150.65 OK
r-devel-linux-x86_64-debian-gcc 1.5.1 20.84 74.86 95.70 OK
r-devel-linux-x86_64-fedora-clang 1.5.1 228.77 ERROR
r-devel-linux-x86_64-fedora-gcc 1.5.1 240.57 ERROR
r-devel-macos-arm64 1.5.1 84.00 OK
r-devel-macos-x86_64 1.5.1 155.00 OK
r-devel-windows-x86_64 1.5.1 36.00 162.00 198.00 OK
r-patched-linux-x86_64 1.5.1 30.70 110.24 140.94 OK
r-release-linux-x86_64 1.5.1 28.71 110.85 139.56 OK
r-release-macos-arm64 1.5.1 85.00 OK
r-release-macos-x86_64 1.5.1 130.00 OK
r-release-windows-x86_64 1.5.1 36.00 165.00 201.00 OK
r-oldrel-macos-arm64 1.5.1 90.00 OK
r-oldrel-macos-x86_64 1.5.1 173.00 OK
r-oldrel-windows-x86_64 1.5.1 42.00 179.00 221.00 OK

Check Details

Version: 1.5.1
Check: tests
Result: ERROR Running ‘test-all.R’ [30s/43s] Running the tests in ‘tests/test-all.R’ failed. Complete output: > library(testthat) > test_check("KFAS") Loading required package: KFAS Please cite KFAS in publications by using: Jouni Helske (2017). KFAS: Exponential Family State Space Models in R. Journal of Statistical Software, 78(10), 1-39. doi:10.18637/jss.v078.i10. Call: SSModel(formula = t12 ~ SSMcycle(period = 10, type = "common", Q = 2) + SSMcycle(period = 10, type = "distinct", P1 = diag(c(1, 1, 2, 2)), Q = diag(1:2)) + SSMtrend(2, type = "common", Q = diag(c(1, 0.5))) + SSMtrend(2, type = "distinct", Q = list(diag(0.1, 2), diag(0.01, 2)), P1 = diag(c(0.1, 0.01, 0.1, 0.01))) + SSMseasonal(period = 4, type = "common") + SSMseasonal(period = 4, type = "distinct", Q = diag(c(2, 3)), P1 = diag(c(2, 2, 2, 3, 3, 3))) + SSMseasonal(period = 5, type = "common", sea.type = "trig") + SSMseasonal(period = 5, type = "distinct", sea.type = "trig", Q = diag(c(0.1, 0.2)), P1 = diag(rep(c(0.1, 0.2), each = 4))) + SSMarima(ar = 0.9, ma = 0.2) + SSMregression(~-1 + x, index = 1, Q = 1, data = d)) State space model object of class SSModel Dimensions: [1] Number of time points: 100 [1] Number of time series: 2 [1] Number of disturbances: 25 [1] Number of states: 38 Names of the states: [1] x.t1 level slope level.t1 slope.t1 [6] level.t2 slope.t2 sea_dummy1 sea_dummy2 sea_dummy3 [11] sea_dummy1.t1 sea_dummy2.t1 sea_dummy3.t1 sea_dummy1.t2 sea_dummy2.t2 [16] sea_dummy3.t2 sea_trig1 sea_trig*1 sea_trig2 sea_trig*2 [21] sea_trig1.t1 sea_trig*1.t1 sea_trig2.t1 sea_trig*2.t1 sea_trig1.t2 [26] sea_trig*1.t2 sea_trig2.t2 sea_trig*2.t2 cycle cycle* [31] cycle.t1 cycle*.t1 cycle.t2 cycle*.t2 arima1.t1 [36] arima2.t1 arima1.t2 arima2.t2 Distributions of the time series: [1] gaussian Object is a valid object of class SSModel.[ FAIL 1 | WARN 3 | SKIP 0 | PASS 574 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('testLMM.R:32:3'): lmms works properly ───────────────────────────── logLik(fit_lmm$model) not equivalent to unclass(logLik(fm1)). 1/1 mismatches [1] -872 - -Inf == Inf [ FAIL 1 | WARN 3 | SKIP 0 | PASS 574 ] Error: Test failures Execution halted Flavor: r-devel-linux-x86_64-fedora-clang

Version: 1.5.1
Check: tests
Result: ERROR Running ‘test-all.R’ [28s/34s] Running the tests in ‘tests/test-all.R’ failed. Complete output: > library(testthat) > test_check("KFAS") Loading required package: KFAS Please cite KFAS in publications by using: Jouni Helske (2017). KFAS: Exponential Family State Space Models in R. Journal of Statistical Software, 78(10), 1-39. doi:10.18637/jss.v078.i10. Call: SSModel(formula = t12 ~ SSMcycle(period = 10, type = "common", Q = 2) + SSMcycle(period = 10, type = "distinct", P1 = diag(c(1, 1, 2, 2)), Q = diag(1:2)) + SSMtrend(2, type = "common", Q = diag(c(1, 0.5))) + SSMtrend(2, type = "distinct", Q = list(diag(0.1, 2), diag(0.01, 2)), P1 = diag(c(0.1, 0.01, 0.1, 0.01))) + SSMseasonal(period = 4, type = "common") + SSMseasonal(period = 4, type = "distinct", Q = diag(c(2, 3)), P1 = diag(c(2, 2, 2, 3, 3, 3))) + SSMseasonal(period = 5, type = "common", sea.type = "trig") + SSMseasonal(period = 5, type = "distinct", sea.type = "trig", Q = diag(c(0.1, 0.2)), P1 = diag(rep(c(0.1, 0.2), each = 4))) + SSMarima(ar = 0.9, ma = 0.2) + SSMregression(~-1 + x, index = 1, Q = 1, data = d)) State space model object of class SSModel Dimensions: [1] Number of time points: 100 [1] Number of time series: 2 [1] Number of disturbances: 25 [1] Number of states: 38 Names of the states: [1] x.t1 level slope level.t1 slope.t1 [6] level.t2 slope.t2 sea_dummy1 sea_dummy2 sea_dummy3 [11] sea_dummy1.t1 sea_dummy2.t1 sea_dummy3.t1 sea_dummy1.t2 sea_dummy2.t2 [16] sea_dummy3.t2 sea_trig1 sea_trig*1 sea_trig2 sea_trig*2 [21] sea_trig1.t1 sea_trig*1.t1 sea_trig2.t1 sea_trig*2.t1 sea_trig1.t2 [26] sea_trig*1.t2 sea_trig2.t2 sea_trig*2.t2 cycle cycle* [31] cycle.t1 cycle*.t1 cycle.t2 cycle*.t2 arima1.t1 [36] arima2.t1 arima1.t2 arima2.t2 Distributions of the time series: [1] gaussian Object is a valid object of class SSModel.[ FAIL 1 | WARN 3 | SKIP 0 | PASS 574 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('testLMM.R:32:3'): lmms works properly ───────────────────────────── logLik(fit_lmm$model) not equivalent to unclass(logLik(fm1)). 1/1 mismatches [1] -872 - -Inf == Inf [ FAIL 1 | WARN 3 | SKIP 0 | PASS 574 ] Error: Test failures Execution halted Flavor: r-devel-linux-x86_64-fedora-gcc