PDL-Stats 0.84
- Released by
- ETJ
- Version
- Release Date
- 2024-05-27
- Kwalitee
- 140.62
- Core Kwalitee
- 90.62
- LINKS
PDL-Stats 0.84 Latest
Kwalitee Issues
- has_human_readable_license
-
Add a section called "LICENSE" to the documentation, or add a file named LICENSE to the distribution.
- has_license_in_source_file
-
Add =head1 LICENSE and the text of the license to the main module in your code.
- use_strict
-
Add 'use strict' (or its equivalents) to all modules, or convince us that your favorite module is well-known enough and people can easily see the modules are strictly written.
Error: PDL::Stats::Basic, PDL::Stats::Kmeans, PDL::Stats::TS
- meta_yml_declares_perl_version
-
If you are using Build.PL define the {requires}{perl} = VERSION field. If you are using MakeMaker (Makefile.PL) you should upgrade ExtUtils::MakeMaker to 6.48 and use MIN_PERL_VERSION parameter. Perl::MinimumVersion can help you determine which version of Perl your module needs.
- has_known_license_in_source_file
-
Add =head1 LICENSE and/or the proper text of the well-known license to the main module in your code.
- use_warnings
-
Add 'use warnings' (or its equivalents) to all modules, or convince us that your favorite module is well-known enough and people can easily see the modules warn when something bad happens.
Error: PDL::Stats::Basic, PDL::Stats::Kmeans, PDL::Stats::TS
- meta_yml_has_provides
-
Add all modules contained in this distribution to the META.yml field 'provides'. Module::Build or Dist::Zilla::Plugin::MetaProvides do this automatically for you.
- has_separate_license_file
-
This is not a critical issue. Currently mainly informative for the CPANTS authors. It might be removed later.
Modules
| Name | Abstract | Version | View |
|---|---|---|---|
| PDL::Stats | a collection of statistics modules in Perl Data Language, with a quick-start guide for non-PDL people. | 0.84 | metacpan |
| PDL::Stats::Basic | basic statistics and related utilities such as standard deviation, Pearson correlation, and t-tests. | metacpan | |
| PDL::Stats::Distr | parameter estimations and probability density functions for distributions. | metacpan | |
| PDL::Stats::GLM | general and generalized linear modeling methods such as ANOVA, linear regression, PCA, and logistic regression. | metacpan | |
| PDL::Stats::Kmeans | classic k-means cluster analysis | metacpan | |
| PDL::Stats::TS | basic time series functions | metacpan |