![]() ![]() Bates - we will have at least one copy of this book available at the sprint.Ĭontribution to a recommended package (potentially acknowledged in the ChangeLog).Įxperience with the package development process.Įxperience with creating/applying patches with Subversion.Įxperiences working with bug reports on Bugzilla. Mixed-Effects Models in S and S-PLUS, José C. On Windows you should have RTools installed. On MacOS you should have the mandatory development tools, Xcode and GNU Fortran installed. Note that documentation in nlme is written directly in. įamiliarity with R package development will be helpful, though again RStudio makes it simple to run R CMD check on the package or to build and install from source. Project requirementsįamiliarity with Subversion will be helpful, however note that you can create a RStudio package project from the repository URL. We may also run reverse dependency checks to check changes do not break packages that depend on nlme. It may be appropriate to propose additions to this test suite to cover the code added/modified when addressing a bug report. In general, we will rely on the tests included in the nlme package. This can involve substantial work to determine the appropriate changes to make and may be an iterative process with feedback from others. Modify the R and/or C source code to implement a proposed change.This may not always be code that triggers an error, but code that does not produce the correct result in particular circumstances. Identify the parts of the code that are the root cause of the issue.Summarize conclusions on Bugzilla or agree a way forward with a member of R Core. Discuss what the appropriate behaviour of the code should be, or discuss a proposal to clarify the way forward. ![]() In complex cases, this may require creating a Docker image so that the whole environment is reproducible. Create a minimal, reproducible example, using only base R packages plus nlme, that demonstrates the issue.Review your changes (e.g. Preview in RStudio or build and install to view).Ĭreate a patch to include both code and documentation changes. Modify the source of the documentation file in the nlme sources. ![]() Run R CMD check on the built package to check nothing is broken by the change. In more detail:Ĭheck the bug is still present in the development version of nlme.Īpply the patch to the nlme sources, build and install the package, and test a reprex to confirm the patch fixes the issue. The table in the last section summarises the next action(s) required to address the different bugs. Method fails for individuals with single observations REML estimation incorrect with fixed sigma Lme fails to warn when data are near-redundant Intervals.lmList does not work for with pool = FALSE Initializing corStruct outside gls call gives different results What to return for corARMA with p = q = 0Ĭonditions when algorithm should use decomposition New confint.lme method for fixed effects only The list of nlme bugs on R’s Bugzilla as of 23 June 2023 is summarised below: Bug IDīehaviour changing with order of group variable The nlme package is version controlled in a Subversion repository, available at. This project would suit a group of people working in twos or threes, with each small group aiming to close one or two bugs during the sprint. ![]() Often only the R code is affected and the problem is more about determining the correct behaviour rather than debugging low-level code, though that will be required in the hardest cases. Other cases require some discussion or further debugging to determine an appropriate solution. In some cases there is already a patch or a proposed solution. The nlme package (maintained by R-core) has a medium-sized list of bugs reported, reaching back over 5 years. ![]()
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