CRAN Package Check Results for Package regress

Last updated on 2017-02-23 11:49:10.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.3-14 0.61 14.18 14.79 ERROR
r-devel-linux-x86_64-debian-gcc 1.3-14 0.65 14.35 15.00 ERROR
r-devel-linux-x86_64-fedora-clang 1.3-14 32.51 ERROR --no-stop-on-test-error
r-devel-linux-x86_64-fedora-gcc 1.3-14 29.02 ERROR --no-stop-on-test-error
r-devel-macos-x86_64-clang 1.3-14 26.14 ERROR --no-stop-on-test-error
r-devel-windows-ix86+x86_64 1.3-14 4.00 72.00 76.00 ERROR
r-patched-linux-x86_64 1.3-14 0.54 13.10 13.63 NOTE
r-patched-solaris-sparc 1.3-14 149.60 NOTE
r-patched-solaris-x86 1.3-14 32.80 NOTE
r-release-linux-x86_64 1.3-14 0.52 12.63 13.15 NOTE
r-release-osx-x86_64-mavericks 1.3-14 NOTE
r-release-windows-ix86+x86_64 1.3-14 3.00 40.00 43.00 NOTE
r-oldrel-windows-ix86+x86_64 1.3-14 3.00 26.00 29.00 OK

Check Details

Version: 1.3-14
Check: S3 generic/method consistency
Result: NOTE
    Found the following apparent S3 methods exported but not registered:
     print.regress summary.regress
    See section ‘Registering S3 methods’ in the ‘Writing R Extensions’
    manual.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-patched-linux-x86_64, r-patched-solaris-sparc, r-patched-solaris-x86, r-release-linux-x86_64

Version: 1.3-14
Check: R code for possible problems
Result: NOTE
    regress: no visible global function definition for ‘model.frame’
    regress: no visible binding for global variable ‘na.pass’
    regress: no visible global function definition for ‘model.response’
    regress: no visible global function definition for ‘model.matrix’
    regress: no visible global function definition for ‘as.formula’
    regress: no visible global function definition for ‘var’
    regress: no visible binding for global variable ‘nobs’
    remlOptimize: no visible global function definition for ‘optimize’
    Undefined global functions or variables:
     as.formula model.frame model.matrix model.response na.pass nobs
     optimize var
    Consider adding
     importFrom("stats", "as.formula", "model.frame", "model.matrix",
     "model.response", "na.pass", "nobs", "optimize", "var")
    to your NAMESPACE file.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-windows-ix86+x86_64, r-patched-linux-x86_64, r-patched-solaris-sparc, r-patched-solaris-x86, r-release-linux-x86_64, r-release-osx-x86_64-mavericks, r-release-windows-ix86+x86_64

Version: 1.3-14
Check: tests
Result: ERROR
     Running ‘BLUP.tests.R’ [1s/1s]
     Running ‘OLS.r’ [0s/0s]
    Running the tests in ‘tests/OLS.r’ failed.
    Complete output:
     > ## Example of ordinary least squares
     >
     > x <- rep(1,15)
     > y <- x + rnorm(15)
     >
     > mod1 <- lm(y~1)
     > mod2 <- regress(y~1)
     Error in regress(y ~ 1) : could not find function "regress"
     Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Version: 1.3-14
Flags: --no-stop-on-test-error
Check: S3 generic/method consistency
Result: NOTE
    Found the following apparent S3 methods exported but not registered:
     print.regress summary.regress
    See section ‘Registering S3 methods’ in the ‘Writing R Extensions’
    manual.
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-macos-x86_64-clang

Version: 1.3-14
Flags: --no-stop-on-test-error
Check: R code for possible problems
Result: NOTE
    regress: no visible global function definition for ‘model.frame’
    regress: no visible binding for global variable ‘na.pass’
    regress: no visible global function definition for ‘model.response’
    regress: no visible global function definition for ‘model.matrix’
    regress: no visible global function definition for ‘as.formula’
    regress: no visible global function definition for ‘var’
    regress: no visible binding for global variable ‘nobs’
    remlOptimize: no visible global function definition for ‘optimize’
    Undefined global functions or variables:
     as.formula model.frame model.matrix model.response na.pass nobs
     optimize var
    Consider adding
     importFrom("stats", "as.formula", "model.frame", "model.matrix",
     "model.response", "na.pass", "nobs", "optimize", "var")
    to your NAMESPACE file.
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-macos-x86_64-clang

Version: 1.3-14
Flags: --no-stop-on-test-error
Check: tests
Result: ERROR
     Running ‘BLUP.tests.R’
     Running ‘OLS.r’
     Running ‘predictionVariance.r’
     Running ‘regress.tests.R’
     Running ‘regressPaper.R’
    Running the tests in ‘tests/OLS.r’ failed.
    Complete output:
     > ## Example of ordinary least squares
     >
     > x <- rep(1,15)
     > y <- x + rnorm(15)
     >
     > mod1 <- lm(y~1)
     > mod2 <- regress(y~1)
     Error in regress(y ~ 1) : could not find function "regress"
     Execution halted
    Running the tests in ‘tests/predictionVariance.r’ failed.
    Complete output:
     > ## Example of prediction variance computations
     >
     > ## Predictions
     > x <- rnorm(15)
     > x <- sort(x)
     > y <- x + rnorm(15)
     > predict(lm(y ~ x))
     1 2 3 4 5 6
     -0.93232573 -0.50072823 -0.29792952 -0.17202754 -0.09698776 -0.09473823
     7 8 9 10 11 12
     -0.03811155 0.03738603 0.07148128 0.32864193 0.54126477 0.54873481
     13 14 15
     0.74088502 0.75196336 1.17099668
     > new <- data.frame(x = x)
     > predict(lm(y ~ x), new, se.fit = TRUE)
     $fit
     1 2 3 4 5 6
     -0.93232573 -0.50072823 -0.29792952 -0.17202754 -0.09698776 -0.09473823
     7 8 9 10 11 12
     -0.03811155 0.03738603 0.07148128 0.32864193 0.54126477 0.54873481
     13 14 15
     0.74088502 0.75196336 1.17099668
    
     $se.fit
     1 2 3 4 5 6 7 8
     0.6707438 0.4655383 0.3845378 0.3438245 0.3245178 0.3240062 0.3125417 0.3018423
     9 10 11 12 13 14 15
     0.2988684 0.3155095 0.3736351 0.3762056 0.4508296 0.4555413 0.6527445
    
     $df
     [1] 13
    
     $residual.scale
     [1] 1.148615
    
     > pred.w.plim <- predict(lm(y ~ x), new, interval="prediction")
     > pred.w.clim <- predict(lm(y ~ x), new, interval="confidence")
     >
     > model <- regress(y~x,verbose=10)
     Error in regress(y ~ x, verbose = 10) : could not find function "regress"
     Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang

Version: 1.3-14
Flags: --no-stop-on-test-error
Check: tests
Result: ERROR
     Running ‘BLUP.tests.R’
     Running ‘OLS.r’
     Running ‘predictionVariance.r’
     Running ‘regress.tests.R’
     Running ‘regressPaper.R’
    Running the tests in ‘tests/OLS.r’ failed.
    Complete output:
     > ## Example of ordinary least squares
     >
     > x <- rep(1,15)
     > y <- x + rnorm(15)
     >
     > mod1 <- lm(y~1)
     > mod2 <- regress(y~1)
     Error in regress(y ~ 1) : could not find function "regress"
     Execution halted
    Running the tests in ‘tests/predictionVariance.r’ failed.
    Complete output:
     > ## Example of prediction variance computations
     >
     > ## Predictions
     > x <- rnorm(15)
     > x <- sort(x)
     > y <- x + rnorm(15)
     > predict(lm(y ~ x))
     1 2 3 4 5 6
     -1.51031877 -0.43955467 -0.41307116 -0.31981740 -0.09091544 -0.06299536
     7 8 9 10 11 12
     -0.02464162 0.09961267 0.60393593 0.60766854 0.95038514 0.99263036
     13 14 15
     1.16009082 1.18465930 1.40987167
     > new <- data.frame(x = x)
     > predict(lm(y ~ x), new, se.fit = TRUE)
     $fit
     1 2 3 4 5 6
     -1.51031877 -0.43955467 -0.41307116 -0.31981740 -0.09091544 -0.06299536
     7 8 9 10 11 12
     -0.02464162 0.09961267 0.60393593 0.60766854 0.95038514 0.99263036
     13 14 15
     1.16009082 1.18465930 1.40987167
    
     $se.fit
     1 2 3 4 5 6 7 8
     0.5569961 0.3015873 0.2964944 0.2794583 0.2450434 0.2417256 0.2375305 0.2270695
     9 10 11 12 13 14 15
     0.2403599 0.2407780 0.2935273 0.3016010 0.3359808 0.3412991 0.3925637
    
     $df
     [1] 13
    
     $residual.scale
     [1] 0.8573235
    
     > pred.w.plim <- predict(lm(y ~ x), new, interval="prediction")
     > pred.w.clim <- predict(lm(y ~ x), new, interval="confidence")
     >
     > model <- regress(y~x,verbose=10)
     Error in regress(y ~ x, verbose = 10) : could not find function "regress"
     Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 1.3-14
Flags: --no-stop-on-test-error
Check: tests
Result: ERROR
     Running ‘BLUP.tests.R’
     Running ‘OLS.r’
     Running ‘predictionVariance.r’
     Running ‘regress.tests.R’
     Running ‘regressPaper.R’
    Running the tests in ‘tests/OLS.r’ failed.
    Complete output:
     > ## Example of ordinary least squares
     >
     > x <- rep(1,15)
     > y <- x + rnorm(15)
     >
     > mod1 <- lm(y~1)
     > mod2 <- regress(y~1)
     Error in regress(y ~ 1) : could not find function "regress"
     Execution halted
    Running the tests in ‘tests/predictionVariance.r’ failed.
    Complete output:
     > ## Example of prediction variance computations
     >
     > ## Predictions
     > x <- rnorm(15)
     > x <- sort(x)
     > y <- x + rnorm(15)
     > predict(lm(y ~ x))
     1 2 3 4 5 6
     -1.75613224 -1.57420980 -1.54414972 -1.45177979 -0.64732458 -0.46790280
     7 8 9 10 11 12
     -0.38905235 0.04297574 0.07322564 0.33147626 0.97303252 1.28625371
     13 14 15
     1.40288625 1.87818347 2.22512067
     > new <- data.frame(x = x)
     > predict(lm(y ~ x), new, se.fit = TRUE)
     $fit
     1 2 3 4 5 6
     -1.75613224 -1.57420980 -1.54414972 -1.45177979 -0.64732458 -0.46790280
     7 8 9 10 11 12
     -0.38905235 0.04297574 0.07322564 0.33147626 0.97303252 1.28625371
     13 14 15
     1.40288625 1.87818347 2.22512067
    
     $se.fit
     1 2 3 4 5 6 7 8
     0.3764608 0.3513715 0.3473238 0.3350806 0.2468461 0.2339260 0.2293384 0.2179529
     9 10 11 12 13 14 15
     0.2180871 0.2242174 0.2722977 0.3076991 0.3221997 0.3865057 0.4371739
    
     $df
     [1] 13
    
     $residual.scale
     [1] 0.8440474
    
     > pred.w.plim <- predict(lm(y ~ x), new, interval="prediction")
     > pred.w.clim <- predict(lm(y ~ x), new, interval="confidence")
     >
     > model <- regress(y~x,verbose=10)
     Error in regress(y ~ x, verbose = 10) : could not find function "regress"
     Execution halted
Flavor: r-devel-macos-x86_64-clang

Version: 1.3-14
Check: tests
Result: ERROR
     Running 'BLUP.tests.R' [2s]
     Running 'OLS.r' [1s]
    Running the tests in 'tests/OLS.r' failed.
    Complete output:
     > ## Example of ordinary least squares
     >
     > x <- rep(1,15)
     > y <- x + rnorm(15)
     >
     > mod1 <- lm(y~1)
     > mod2 <- regress(y~1)
     Error in regress(y ~ 1) : could not find function "regress"
     Execution halted
Flavor: r-devel-windows-ix86+x86_64