CRAN Package Check Results for Maintainer ‘Nathaniel E. Helwig <helwig at umn.edu>’

Last updated on 2024-12-18 19:49:38 CET.

Package ERROR NOTE OK
bigsplines 13
CMLS 3 10
Dykstra 13
eegkit 3 10
eegkitdata 13
gammi 3 10
grpnet 13
ica 13
multiway 3 10
npreg 13
nptest 10 3

Package bigsplines

Current CRAN status: OK: 13

Package CMLS

Current CRAN status: NOTE: 3, OK: 10

Version: 1.0-1
Check: Rd cross-references
Result: NOTE Found the following Rd file(s) with Rd \link{} targets missing package anchors: mlsei.Rd: solve.QP mlsun.Rd: solve.QP Please provide package anchors for all Rd \link{} targets not in the package itself and the base packages. Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-windows-x86_64

Package Dykstra

Current CRAN status: OK: 13

Package eegkit

Current CRAN status: NOTE: 3, OK: 10

Version: 1.0-4
Check: Rd cross-references
Result: NOTE Found the following Rd file(s) with Rd \link{} targets missing package anchors: eegfilter.Rd: butter, fir1, filtfilt, freqz_plot eegpsd.Rd: imagebar Please provide package anchors for all Rd \link{} targets not in the package itself and the base packages. Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-windows-x86_64

Package eegkitdata

Current CRAN status: OK: 13

Package gammi

Current CRAN status: ERROR: 3, OK: 10

Version: 0.1
Check: examples
Result: ERROR Running examples in ‘gammi-Ex.R’ failed The error most likely occurred in: > ### Name: exam > ### Title: Cross-Classified Examination Data > ### Aliases: exam > ### Keywords: datasets > > ### ** Examples > > # load 'exam' help file > ?exam exam package:gammi R Documentation _<08>C_<08>r_<08>o_<08>s_<08>s-_<08>C_<08>l_<08>a_<08>s_<08>s_<08>i_<08>f_<08>i_<08>e_<08>d _<08>E_<08>x_<08>a_<08>m_<08>i_<08>n_<08>a_<08>t_<08>i_<08>o_<08>n _<08>D_<08>a_<08>t_<08>a _<08>D_<08>e_<08>s_<08>c_<08>r_<08>i_<08>p_<08>t_<08>i_<08>o_<08>n: Scores on secondary school leaving examinations (response) and verbal reasoning scores in primary school (fixed effect) for 3435 students in Fife, Scotland. The students are cross-classified in 148 primary schools (random effect) and 19 secondary schools (random effect). _<08>U_<08>s_<08>a_<08>g_<08>e: data("exam") _<08>F_<08>o_<08>r_<08>m_<08>a_<08>t: A data frame with 3435 observations on the following 4 variables. ‘VRQ.score’ Verbal Reasoning Quotient obtained in primary school (integer vector ranging from 70 to 140) ‘Exam.score’ Leaving examination score obtained in secondary school (integer vector ranging from 1 to 10) ‘Primary.school’ Primary school identifier (factor with 148 levels) ‘Secondary.school’ Secondary school identifier (factor with 19 levels) _<08>D_<08>e_<08>t_<08>a_<08>i_<08>l_<08>s: The VRQ scores were obtained at age 12 (right before entering secondary school), and the Exam scores were obtained at age 16 (right before leaving secondary school). The VRQ scores are constructed to have a population mean of 100 and population standard deviation of 15. The goal is to predict the leaving Exam scores from the VRQ scores while accounting for the primary and secondary school cross-classifications. _<08>S_<08>o_<08>u_<08>r_<08>c_<08>e: Data Obtainable from: <https://www.bristol.ac.uk/cmm/team/hg/msm-3rd-ed/datasets.html> _<08>R_<08>e_<08>f_<08>e_<08>r_<08>e_<08>n_<08>c_<08>e_<08>s: Goldstein, H. (2011). Multilevel Statistical Models, 4th Edition. Chapter 12: Cross-classified data structures (pages 243-254). doi:10.1002/9780470973394 <https://doi.org/10.1002/9780470973394> Paterson, L. (1991). Socio-economic status and educational attainment: a multidimensional and multilevel study. Evaluation and Research in Education, 5, 97-121. doi:10.1080/09500799109533303 <https://doi.org/10.1080/09500799109533303> _<08>E_<08>x_<08>a_<08>m_<08>p_<08>l_<08>e_<08>s: # load 'exam' help file ?exam # load data data(exam) # header of data head(exam) # fit model mod <- gammi(Exam.score ~ VRQ.score, data = exam, random = ~ (1 | Primary.school) + (1 | Secondary.school)) # plot results plot(mod) # summarize results summary(mod) # variance parameters mod$VarCorr > > # load data > data(exam) > > # header of data > head(exam) VRQ.score Exam.score Primary.school Secondary.school 1 111 10 1 9 2 100 3 1 9 3 86 2 1 9 4 94 3 1 9 5 70 2 1 9 6 83 2 1 9 > > # fit model > mod <- gammi(Exam.score ~ VRQ.score, data = exam, + random = ~ (1 | Primary.school) + (1 | Secondary.school)) Error in crossprod(x, y) : requires numeric/complex matrix/vector arguments Calls: gammi ... gammi.formula -> gammi.default -> rbind -> crossprod Execution halted Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64

Version: 0.1
Check: examples
Result: ERROR Running examples in 'gammi-Ex.R' failed The error most likely occurred in: > ### Name: exam > ### Title: Cross-Classified Examination Data > ### Aliases: exam > ### Keywords: datasets > > ### ** Examples > > # load 'exam' help file > ?exam exam package:gammi R Documentation _<08>C_<08>r_<08>o_<08>s_<08>s-_<08>C_<08>l_<08>a_<08>s_<08>s_<08>i_<08>f_<08>i_<08>e_<08>d _<08>E_<08>x_<08>a_<08>m_<08>i_<08>n_<08>a_<08>t_<08>i_<08>o_<08>n _<08>D_<08>a_<08>t_<08>a _<08>D_<08>e_<08>s_<08>c_<08>r_<08>i_<08>p_<08>t_<08>i_<08>o_<08>n: Scores on secondary school leaving examinations (response) and verbal reasoning scores in primary school (fixed effect) for 3435 students in Fife, Scotland. The students are cross-classified in 148 primary schools (random effect) and 19 secondary schools (random effect). _<08>U_<08>s_<08>a_<08>g_<08>e: data("exam") _<08>F_<08>o_<08>r_<08>m_<08>a_<08>t: A data frame with 3435 observations on the following 4 variables. 'VRQ.score' Verbal Reasoning Quotient obtained in primary school (integer vector ranging from 70 to 140) 'Exam.score' Leaving examination score obtained in secondary school (integer vector ranging from 1 to 10) 'Primary.school' Primary school identifier (factor with 148 levels) 'Secondary.school' Secondary school identifier (factor with 19 levels) _<08>D_<08>e_<08>t_<08>a_<08>i_<08>l_<08>s: The VRQ scores were obtained at age 12 (right before entering secondary school), and the Exam scores were obtained at age 16 (right before leaving secondary school). The VRQ scores are constructed to have a population mean of 100 and population standard deviation of 15. The goal is to predict the leaving Exam scores from the VRQ scores while accounting for the primary and secondary school cross-classifications. _<08>S_<08>o_<08>u_<08>r_<08>c_<08>e: Data Obtainable from: <https://www.bristol.ac.uk/cmm/team/hg/msm-3rd-ed/datasets.html> _<08>R_<08>e_<08>f_<08>e_<08>r_<08>e_<08>n_<08>c_<08>e_<08>s: Goldstein, H. (2011). Multilevel Statistical Models, 4th Edition. Chapter 12: Cross-classified data structures (pages 243-254). doi:10.1002/9780470973394 <https://doi.org/10.1002/9780470973394> Paterson, L. (1991). Socio-economic status and educational attainment: a multidimensional and multilevel study. Evaluation and Research in Education, 5, 97-121. doi:10.1080/09500799109533303 <https://doi.org/10.1080/09500799109533303> _<08>E_<08>x_<08>a_<08>m_<08>p_<08>l_<08>e_<08>s: # load 'exam' help file ?exam # load data data(exam) # header of data head(exam) # fit model mod <- gammi(Exam.score ~ VRQ.score, data = exam, random = ~ (1 | Primary.school) + (1 | Secondary.school)) # plot results plot(mod) # summarize results summary(mod) # variance parameters mod$VarCorr > > # load data > data(exam) > > # header of data > head(exam) VRQ.score Exam.score Primary.school Secondary.school 1 111 10 1 9 2 100 3 1 9 3 86 2 1 9 4 94 3 1 9 5 70 2 1 9 6 83 2 1 9 > > # fit model > mod <- gammi(Exam.score ~ VRQ.score, data = exam, + random = ~ (1 | Primary.school) + (1 | Secondary.school)) Error in crossprod(x, y) : requires numeric/complex matrix/vector arguments Calls: gammi ... gammi.formula -> gammi.default -> rbind -> crossprod Execution halted Flavor: r-oldrel-windows-x86_64

Package grpnet

Current CRAN status: OK: 13

Package ica

Current CRAN status: OK: 13

Package multiway

Current CRAN status: NOTE: 3, OK: 10

Version: 1.0-6
Check: Rd cross-references
Result: NOTE Found the following Rd file(s) with Rd \link{} targets missing package anchors: const.control.Rd: const indscal.Rd: const, cmls mcr.Rd: const, cmls parafac.Rd: const, cmls parafac2.Rd: const, cmls Please provide package anchors for all Rd \link{} targets not in the package itself and the base packages. Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-windows-x86_64

Package npreg

Current CRAN status: OK: 13

Package nptest

Current CRAN status: NOTE: 10, OK: 3

Version: 1.1
Check: Rd files
Result: NOTE checkRd: (-1) np.reg.test.Rd:148: Lost braces 148 | ter Braak, C. J. F. (1992). Permutation versus bootstrap significance tests in multiple regression and ANOVA. In K. H. J\"{o}ckel, G. Rothe, & W. Sendler (Eds.), Bootstrapping and related techniques. lecture notes in economics and mathematical systems, vol 376 (pp. 79-86). Springer. | ^ checkRd: (-1) nptest-package.Rd:73: Lost braces 73 | ter Braak, C. J. F. (1992). Permutation versus bootstrap significance tests in multiple regression and ANOVA. In K. H. J\"{o}ckel, G. Rothe, & W. Sendler (Eds.), Bootstrapping and related techniques. lecture notes in economics and mathematical systems, vol 376 (pp. 79-86). Springer. | ^ Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64