CRAN Package Check Results for Package regress

Last updated on 2017-01-18 18:48:29.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.3-14 0.62 14.20 14.82 ERROR
r-devel-linux-x86_64-debian-gcc 1.3-14 0.60 13.95 14.55 ERROR
r-devel-linux-x86_64-fedora-clang 1.3-14 29.32 ERROR --no-stop-on-test-error
r-devel-linux-x86_64-fedora-gcc 1.3-14 30.20 ERROR --no-stop-on-test-error
r-devel-macos-x86_64-clang 1.3-14 25.14 ERROR --no-stop-on-test-error
r-devel-windows-ix86+x86_64 1.3-14 4.00 32.00 36.00 ERROR
r-patched-linux-x86_64 1.3-14 0.59 12.86 13.45 NOTE
r-patched-solaris-sparc 1.3-14 149.60 NOTE
r-patched-solaris-x86 1.3-14 32.00 NOTE
r-release-linux-x86_64 1.3-14 0.53 12.58 13.11 NOTE
r-release-osx-x86_64-mavericks 1.3-14 NOTE
r-release-windows-ix86+x86_64 1.3-14 2.00 49.00 51.00 NOTE
r-oldrel-windows-ix86+x86_64 1.3-14 2.00 40.00 42.00 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
     -1.49614203 -1.16471398 -0.99615026 -0.74450628 -0.63788544 -0.41917667
     7 8 9 10 11 12
     -0.11584737 -0.01495282 0.42428493 0.71793657 0.73221127 0.73942445
     13 14 15
     1.14577983 1.80865383 2.97968379
     > new <- data.frame(x = x)
     > predict(lm(y ~ x), new, se.fit = TRUE)
     $fit
     1 2 3 4 5 6
     -1.49614203 -1.16471398 -0.99615026 -0.74450628 -0.63788544 -0.41917667
     7 8 9 10 11 12
     -0.11584737 -0.01495282 0.42428493 0.71793657 0.73221127 0.73942445
     13 14 15
     1.14577983 1.80865383 2.97968379
    
     $se.fit
     1 2 3 4 5 6 7 8
     0.3696043 0.3223093 0.2999391 0.2694443 0.2578331 0.2371047 0.2170421 0.2130601
     9 10 11 12 13 14 15
     0.2135542 0.2295675 0.2306257 0.2311694 0.2702133 0.3575658 0.5423380
    
     $df
     [1] 13
    
     $residual.scale
     [1] 0.8118454
    
     > 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
     -2.14749603 -2.08642526 -1.78423834 -1.35741506 -0.50183893 -0.38024214
     7 8 9 10 11 12
     -0.12663282 -0.11400871 -0.03186439 -0.02839829 0.58097619 0.67143220
     13 14 15
     0.91269342 1.42011197 2.01582433
     > new <- data.frame(x = x)
     > predict(lm(y ~ x), new, se.fit = TRUE)
     $fit
     1 2 3 4 5 6
     -2.14749603 -2.08642526 -1.78423834 -1.35741506 -0.50183893 -0.38024214
     7 8 9 10 11 12
     -0.12663282 -0.11400871 -0.03186439 -0.02839829 0.58097619 0.67143220
     13 14 15
     0.91269342 1.42011197 2.01582433
    
     $se.fit
     1 2 3 4 5 6 7 8
     0.3691505 0.3607957 0.3207051 0.2689869 0.1993904 0.1954840 0.1935761 0.1937064
     9 10 11 12 13 14 15
     0.1950718 0.1951490 0.2304139 0.2386728 0.2633992 0.3246066 0.4058493
    
     $df
     [1] 13
    
     $residual.scale
     [1] 0.7484215
    
     > 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
     -3.58756148 -2.98996919 -2.12704240 -2.04247814 -1.50384836 -1.50284272
     7 8 9 10 11 12
     -1.35148566 -1.07257732 -0.31423156 -0.08096528 0.01546244 0.10726620
     13 14 15
     0.66225604 1.76339931 1.94201633
     > new <- data.frame(x = x)
     > predict(lm(y ~ x), new, se.fit = TRUE)
     $fit
     1 2 3 4 5 6
     -3.58756148 -2.98996919 -2.12704240 -2.04247814 -1.50384836 -1.50284272
     7 8 9 10 11 12
     -1.35148566 -1.07257732 -0.31423156 -0.08096528 0.01546244 0.10726620
     13 14 15
     0.66225604 1.76339931 1.94201633
    
     $se.fit
     1 2 3 4 5 6 7 8
     0.6035617 0.5073990 0.3854247 0.3751856 0.3213128 0.3212341 0.3105118 0.2970774
     9 10 11 12 13 14 15
     0.3072053 0.3233942 0.3315844 0.3401138 0.4040219 0.5685350 0.5978408
    
     $df
     [1] 13
    
     $residual.scale
     [1] 1.133717
    
     > 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