CRAN Package Check Results for Package regress

Last updated on 2017-03-27 05:48:11.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.3-14 0.60 14.42 15.01 ERROR
r-devel-linux-x86_64-debian-gcc 1.3-14 0.57 14.14 14.71 ERROR
r-devel-linux-x86_64-fedora-clang 1.3-14 33.87 ERROR --no-stop-on-test-error
r-devel-linux-x86_64-fedora-gcc 1.3-14 28.88 ERROR --no-stop-on-test-error
r-devel-macos-x86_64-clang 1.3-14 25.73 ERROR --no-stop-on-test-error
r-devel-windows-ix86+x86_64 1.3-14 2.00 42.00 44.00 ERROR
r-patched-linux-x86_64 1.3-14 0.58 14.07 14.65 ERROR
r-patched-solaris-sparc 1.3-14 156.90 ERROR
r-patched-solaris-x86 1.3-14 34.10 ERROR
r-release-linux-x86_64 1.3-14 0.56 13.05 13.62 NOTE
r-release-osx-x86_64-mavericks 1.3-14 NOTE
r-release-windows-ix86+x86_64 1.3-14 3.00 30.00 33.00 NOTE
r-oldrel-windows-ix86+x86_64 1.3-14 2.00 26.00 28.00 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, r-patched-linux-x86_64

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 7
     -2.1784682 -1.6465432 -1.1927238 -0.9841185 -0.7733981 -0.5640511 -0.3488578
     8 9 10 11 12 13 14
     -0.2726846 -0.2627999 -0.1464393 0.1197476 0.2502246 1.1228870 1.3184842
     15
     1.9427446
     > new <- data.frame(x = x)
     > predict(lm(y ~ x), new, se.fit = TRUE)
     $fit
     1 2 3 4 5 6 7
     -2.1784682 -1.6465432 -1.1927238 -0.9841185 -0.7733981 -0.5640511 -0.3488578
     8 9 10 11 12 13 14
     -0.2726846 -0.2627999 -0.1464393 0.1197476 0.2502246 1.1228870 1.3184842
     15
     1.9427446
    
     $se.fit
     1 2 3 4 5 6 7 8
     0.6755485 0.5388663 0.4364866 0.3968872 0.3639121 0.3401723 0.3272060 0.3256877
     9 10 11 12 13 14 15
     0.3256121 0.3268257 0.3437032 0.3584835 0.5288120 0.5770803 0.7424028
    
     $df
     [1] 13
    
     $residual.scale
     [1] 1.260828
    
     > 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 7
     -2.2509807 -1.9001293 -0.8880035 -0.8820166 -0.4686614 -0.3853160 -0.1134440
     8 9 10 11 12 13 14
     0.2693467 0.2991180 0.3686600 0.4214182 0.6482726 0.6719723 1.3354767
     15
     2.0804426
     > new <- data.frame(x = x)
     > predict(lm(y ~ x), new, se.fit = TRUE)
     $fit
     1 2 3 4 5 6 7
     -2.2509807 -1.9001293 -0.8880035 -0.8820166 -0.4686614 -0.3853160 -0.1134440
     8 9 10 11 12 13 14
     0.2693467 0.2991180 0.3686600 0.4214182 0.6482726 0.6719723 1.3354767
     15
     2.0804426
    
     $se.fit
     1 2 3 4 5 6 7 8
     0.6858204 0.5997675 0.3848515 0.3838412 0.3274539 0.3199466 0.3066584 0.3191383
     9 10 11 12 13 14 15
     0.3215805 0.3280358 0.3336043 0.3634258 0.3670323 0.4939716 0.6697076
    
     $df
     [1] 13
    
     $residual.scale
     [1] 1.185879
    
     > 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 7
     -1.0514612 -0.9223105 -0.6941042 -0.5598662 -0.2992930 -0.2988649 -0.2220419
     8 9 10 11 12 13 14
     0.1111094 0.2191229 0.2695358 0.3128189 0.7369190 0.8945086 1.7036671
     15
     1.9485885
     > new <- data.frame(x = x)
     > predict(lm(y ~ x), new, se.fit = TRUE)
     $fit
     1 2 3 4 5 6 7
     -1.0514612 -0.9223105 -0.6941042 -0.5598662 -0.2992930 -0.2988649 -0.2220419
     8 9 10 11 12 13 14
     0.1111094 0.2191229 0.2695358 0.3128189 0.7369190 0.8945086 1.7036671
     15
     1.9485885
    
     $se.fit
     1 2 3 4 5 6 7 8
     0.3840285 0.3570984 0.3127760 0.2892932 0.2515559 0.2515044 0.2429275 0.2235221
     9 10 11 12 13 14 15
     0.2242444 0.2257931 0.2277241 0.2720136 0.2974616 0.4651651 0.5222473
    
     $df
     [1] 13
    
     $residual.scale
     [1] 0.8650865
    
     > 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' [1s]
     Running 'OLS.r' [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
Flavor: r-devel-windows-ix86+x86_64

Version: 1.3-14
Check: tests
Result: ERROR
     Running ‘BLUP.tests.R’
     Running ‘OLS.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
Flavors: r-patched-solaris-sparc, r-patched-solaris-x86