package code::registration

[softloud]

code::registration

objective

The varameta:: package aims to provide a collection of different estimators for approximating the variance of the sample median.

inputs

Each estimator takes various sample statistics (quartiles, etc.), sample size.

• [x] one neet
• [ ] all neets
• [ ] and the rest

outputs

Each estimator outputs an estimate of spread and centre. Some are approximations of the variance of the sample median, and others approximate the standard deviation and mean.

• [x] one neet
• [ ] all neets
• [ ] and the rest

[softloud]

• [x] one neet for all outputs
• [x] one neet for all inputs

[softloud]

Collate into one file per method & neet test for inputs. Update documentation.

• [x] wan 1
• [x] wan 2
• [x] wan 3
• [x] hozo

[softloud]

Okay, cool. I have neet tests for all inputs and outputs.

My neet tests are failing. Now, job is to ensure the code passes the tests.

[softloud]

Now neet tests are passing (indeed all tests are passing!) for all functions. The documentation is tidied up, and the functions are tagged with tests.

First cycle complete.

Some thoughts on input testing for categorical variables. assert for an %in%. But that can wait for and the rest tests.

[softloud]

preexisting estimators

novel estimators