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 |
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