Checks for testpkgwithgp (v0.0.0.9000)

git hash:

Package is already on CRAN - ❌ does not have a ‘contributing’ file. - ❌ The following function has no documented return value: [test_fn] - ✅ uses ‘roxygen2’. - ❌ ‘DESCRIPTION’ does not have a URL field. - ❌ ‘DESCRIPTION’ does not have a BugReports field. - ❌ Package has no HTML vignettes - ❌ These functions do not have examples: [test_fn]. - ✅ Repository has a website - ❌ Continuous integration checks unavailable (no URL in ‘DESCRIPTION’). - ✅ All goodpractice linters passed. - ❌ Default GitHub branch of ‘master’ is not acceptable. - ❌ Some statistical standards are missing - ❌ This package still has TODO standards and can not be submitted - ❌ Statistical standards should be documented in most package files, yet are mostly only documented in one file. - ❌ Not all authors have ORCID IDs

Important: All failing checks above must be addressed prior to proceeding

Package License: GPL-3


1. rOpenSci Statistical Standards (srr package)

This package is in the following category:

  • Regression and Supervised Learning

❌ This package still has TODO standards and can not be submitted Package can not be submitted because the following standards [v0.2.0] are missing from your code:

G1.0 G1.4a G1.6 G2.0a G2.1a G2.2 G2.3a G2.3b G2.4 G2.4a G2.4b G2.4c G2.4d G2.4e G2.5 G2.6 G2.7 G2.8 G2.9 G2.10 G2.11 G2.12 G2.13 G2.14 G2.14a G2.14b G2.14c G2.15 G2.16 G3.0 G3.1 G3.1a G4.0 G5.0 G5.1 G5.2 G5.2a G5.2b G5.3 G5.4 G5.4a G5.4b G5.4c G5.5 G5.6 G5.6a G5.6b G5.7 G5.8 G5.8a G5.8b G5.8c G5.8d G5.9 G5.9a G5.9b G5.10 G5.11 G5.11a G5.12 RE1.0 RE1.2 RE1.3 RE1.3a RE1.4 RE2.0 RE2.1 RE2.3 RE2.4 RE2.4a RE2.4b RE3.0 RE3.1 RE3.2 RE4.0 RE4.1 RE4.2 RE4.3 RE4.5 RE4.6 RE4.7 RE4.8 RE4.9 RE4.10 RE4.11 RE4.12 RE4.13 RE4.14 RE4.15 RE4.16 RE4.17 RE4.18 RE5.0 RE6.0 RE6.1 RE6.2 RE6.3 RE7.0 RE7.0a RE7.1 RE7.1a RE7.2 RE7.3 RE7.4

Statistical standards should be documented in most package files, yet are mostly only documented in one file.

Click to see the report of author-reported standards compliance of the package with links to associated lines of code, which can be re-generated locally by running the srr_report() function from within a local clone of the repository.


2. Package Dependencies

Details of Package Dependency Usage (click to open)

The table below tallies all function calls to all packages (‘ncalls’), both internal (r-base + recommended, along with the package itself), and external (imported and suggested packages). ‘NA’ values indicate packages to which no identified calls to R functions could be found. Note that these results are generated by an automated code-tagging system which may not be entirely accurate.

type package ncalls
imports Rcpp NA
suggests testthat NA
linking_to Rcpp NA

Click below for tallies of functions used in each package. Locations of each call within this package may be generated locally by running ‘s <- pkgstats::pkgstats()’, and examining the ‘external_calls’ table.

NOTE: No imported packages appear to have associated function calls; please ensure with author that these ‘Imports’ are listed appropriately.


3. Statistical Properties

This package features some noteworthy statistical properties which may need to be clarified by a handling editor prior to progressing.

Details of statistical properties (click to open)

The package has:

  • code in C++ (72% in 2 files) and R (28% in 4 files)
  • 1 authors
  • no vignette
  • no internal data file
  • 1 imported package
  • 1 exported function (median 3 lines of code)
  • 1 non-exported function in R (median 3 lines of code)
  • 2 R functions (median 5 lines of code)

Statistical properties of package structure as distributional percentiles in relation to all current CRAN packages The following terminology is used:

  • loc = “Lines of Code”
  • fn = “function”
  • exp/not_exp = exported / not exported

All parameters are explained as tooltips in the locally-rendered HTML version of this report generated by the checks_to_markdown() function

The final measure (fn_call_network_size) is the total number of calls between functions (in R), or more abstract relationships between code objects in other languages. Values are flagged as “noteworthy” when they lie in the upper or lower 5th percentile.

measure value percentile noteworthy
files_R 4 33
files_src 2 58
files_vignettes 0 35
files_tests 2 57
loc_R 10 46
loc_src 26 44
loc_tests 6 42
num_vignettes 0 39
n_fns_r 2 42
n_fns_r_exported 1 34
n_fns_r_not_exported 1 38
n_fns_src 2 53
n_fns_per_file_r 1 43
n_fns_per_file_src 1 45
num_params_per_fn 0 29
loc_per_fn_r 3 35
loc_per_fn_r_exp 3 42
loc_per_fn_r_not_exp 3 47
loc_per_fn_src 5 50
rel_whitespace_R 40 0 TRUE
rel_whitespace_src 27 0 TRUE
rel_whitespace_tests 17 0 TRUE
doclines_per_fn_exp 6 29
doclines_per_fn_not_exp 4 56
fn_call_network_size 1 50

4. goodpractice and other checks

(‘goodpractice’ not included with these checks)


Package Versions

package version
pkgstats 42
pkgcheck 42
srr 42