CRAN Package Check Results for Package MonoPoly

Last updated on 2024-03-28 17:49:34 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.3-10 6.74 49.61 56.35 OK
r-devel-linux-x86_64-debian-gcc 0.3-10 6.73 36.99 43.72 OK
r-devel-linux-x86_64-fedora-clang 0.3-10 70.78 OK
r-devel-linux-x86_64-fedora-gcc 0.3-10 69.74 OK
r-devel-windows-x86_64 0.3-10 10.00 391.00 401.00 ERROR
r-patched-linux-x86_64 0.3-10 8.43 47.36 55.79 OK
r-release-linux-x86_64 0.3-10 6.16 48.28 54.44 OK
r-release-macos-arm64 0.3-10 25.00 OK
r-release-macos-x86_64 0.3-10 39.00 OK
r-release-windows-x86_64 0.3-10 13.00 71.00 84.00 OK
r-oldrel-macos-arm64 0.3-10 26.00 OK
r-oldrel-windows-x86_64 0.3-10 16.00 71.00 87.00 OK

Check Details

Version: 0.3-10
Check: tests
Result: ERROR Running 'evalCoef.R' [159s] Running 'evalGradCoef.R' [0s] Comparing 'evalGradCoef.Rout' to 'evalGradCoef.Rout.save' ... OK Running 'evalPol.R' [169s] Running the tests in 'tests/evalCoef.R' failed. Complete output: > library(MonoPoly) Loading required package: quadprog > > par <- rep(1,8) > MonoPoly:::evalCoef(par, ptype="El", ctype="c2") beta0 beta1 beta2 beta3 beta4 beta5 beta6 1.0000000 8.0000000 12.0000000 12.0000000 8.0000000 3.6000000 1.0000000 beta7 0.1428571 > MonoPoly:::evalCoef(par, ptype="El", ctype="cge0") beta0 beta1 beta2 beta3 beta4 beta5 beta6 1.0000000 8.0000000 12.0000000 12.0000000 8.0000000 3.6000000 1.0000000 beta7 0.1428571 > MonoPoly:::evalCoef(par, ptype="EHH", ctype="c2") beta0 beta1 beta2 beta3 beta4 beta5 beta6 beta7 1.000000 1.000000 3.000000 6.000000 8.000000 7.200000 4.000000 1.142857 > MonoPoly:::evalCoef(par, ptype="EHH", ctype="cge0") beta0 beta1 beta2 beta3 beta4 beta5 beta6 beta7 1.000000 1.000000 3.000000 6.000000 8.000000 7.200000 4.000000 1.142857 > MonoPoly:::evalCoef(par, ptype="P", ctype="c2") beta0 beta1 beta2 beta3 beta4 beta5 beta6 beta7 1.000000 1.000000 3.000000 6.000000 8.000000 7.200000 4.000000 1.142857 > MonoPoly:::evalCoef(par, ptype="P", ctype="cge0") beta0 beta1 beta2 beta3 beta4 beta5 beta6 beta7 1.000000 1.000000 3.000000 6.000000 8.000000 7.200000 4.000000 1.142857 > > par <- 1:8 > MonoPoly:::evalCoef(par, ptype="El", ctype="c2") beta0 beta1 beta2 beta3 beta4 beta5 1.000000e+00 3.446500e+05 9.095800e+04 1.776467e+04 2.234000e+03 1.932000e+02 beta6 beta7 1.000000e+01 2.857143e-01 > MonoPoly:::evalCoef(par, ptype="El", ctype="cge0") beta0 beta1 beta2 beta3 beta4 beta5 1.000000e+00 4.594200e+04 2.365400e+04 7.170000e+03 1.342000e+03 1.540000e+02 beta6 beta7 1.000000e+01 2.857143e-01 > MonoPoly:::evalCoef(par, ptype="EHH", ctype="c2") beta0 beta1 beta2 beta3 beta4 beta5 beta6 beta7 1.00 2.00 30.00 322.00 2234.00 10658.80 30319.33 49235.71 > MonoPoly:::evalCoef(par, ptype="EHH", ctype="cge0") beta0 beta1 beta2 beta3 beta4 beta5 beta6 beta7 1.0000 2.0000 30.0000 256.6667 1342.0000 4302.0000 7884.6667 6563.1429 > MonoPoly:::evalCoef(par, ptype="P", ctype="c2") beta0 beta1 beta2 beta3 beta4 beta5 beta6 beta7 1.00 22050.00 14910.00 38711.33 23130.00 35791.60 11428.67 11681.43 > MonoPoly:::evalCoef(par, ptype="P", ctype="cge0") beta0 beta1 beta2 beta3 beta4 beta5 beta6 1.0000 22050.0000 14910.0000 11691.3333 5070.0000 2094.0000 439.3333 beta7 90.0000 > > par <- 8:1 > MonoPoly:::evalCoef(par, ptype="El", ctype="c2") beta0 beta1 beta2 beta3 beta4 beta5 beta6 beta7 8.00 53375.00 35140.00 13036.33 2828.00 373.80 28.00 1.00 > MonoPoly:::evalCoef(par, ptype="El", ctype="cge0") beta0 beta1 beta2 beta3 beta4 beta5 beta6 beta7 8.0 27265.0 20636.0 8827.0 2240.0 337.4 28.0 1.0 > MonoPoly:::evalCoef(par, ptype="EHH", ctype="c2") beta0 beta1 beta2 beta3 beta4 beta5 beta6 beta7 8.00 7.00 84.00 623.00 2828.00 7821.80 11713.33 7625.00 > MonoPoly:::evalCoef(par, ptype="EHH", ctype="cge0") beta0 beta1 beta2 beta3 beta4 beta5 beta6 beta7 8.0000 7.0000 84.0000 562.3333 2240.0000 5296.2000 6878.6667 3895.0000 > MonoPoly:::evalCoef(par, ptype="P", ctype="c2") beta0 beta1 beta2 beta3 beta4 beta5 beta6 beta7 8.000 16128.000 14784.000 15306.667 10080.000 5734.400 1978.667 520.000 > MonoPoly:::evalCoef(par, ptype="P", ctype="cge0") beta0 beta1 beta2 beta3 beta4 beta5 beta6 beta7 8.0 16128.0 14784.0 10304.0 4704.0 1612.8 336.0 48.0 > > proc.time() user system elapsed 0.17 0.10 0.26 Running the tests in 'tests/evalPol.R' failed. Complete output: > library(MonoPoly) Loading required package: quadprog > > par <- 1 > x <- seq(from=-1, to=1, length=21) > evalPol(x, par) [1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 > > par <- rep(1, 2) > evalPol(x, par) [1] 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 [20] 1.9 2.0 > > par <- 1:2 > evalPol(x, par) [1] -1.0 -0.8 -0.6 -0.4 -0.2 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 [16] 2.0 2.2 2.4 2.6 2.8 3.0 > > par <- 2:1 > evalPol(x, par) [1] 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 [20] 2.9 3.0 > > par <- rep(1, 3) > evalPol(x, par) [1] 1.00 0.91 0.84 0.79 0.76 0.75 0.76 0.79 0.84 0.91 1.00 1.11 1.24 1.39 1.56 [16] 1.75 1.96 2.19 2.44 2.71 3.00 > > par <- 1:3 > evalPol(x, par) [1] 2.00 1.63 1.32 1.07 0.88 0.75 0.68 0.67 0.72 0.83 1.00 1.23 1.52 1.87 2.28 [16] 2.75 3.28 3.87 4.52 5.23 6.00 > > par <- 3:1 > evalPol(x, par) [1] 2.00 2.01 2.04 2.09 2.16 2.25 2.36 2.49 2.64 2.81 3.00 3.21 3.44 3.69 3.96 [16] 4.25 4.56 4.89 5.24 5.61 6.00 > > par <- rep(1, 4) > evalPol(x, par) [1] 0.000 0.181 0.328 0.447 0.544 0.625 0.696 0.763 0.832 0.909 1.000 1.111 [13] 1.248 1.417 1.624 1.875 2.176 2.533 2.952 3.439 4.000 > > par <- 1:4 > evalPol(x, par) [1] -2.000 -1.286 -0.728 -0.302 0.016 0.250 0.424 0.562 0.688 0.826 [11] 1.000 1.234 1.552 1.978 2.536 3.250 4.144 5.242 6.568 8.146 [21] 10.000 > > par <- 4:1 > evalPol(x, par) [1] 2.000 2.191 2.368 2.537 2.704 2.875 3.056 3.253 3.472 3.719 [11] 4.000 4.321 4.688 5.107 5.584 6.125 6.736 7.423 8.192 9.049 [21] 10.000 > > proc.time() user system elapsed 0.18 0.07 0.25 Flavor: r-devel-windows-x86_64