For ML projects, good configuration management is important for documenting experiments and runs and simplifying parameter overrides. Type checking makes console overrides less error-prone. Multirun ...
sampleclusteR allows users to quickly analyse datasets from Gene Expression Omnibus (GEO) and ArrayExpress metadata sets (via Sample and Data Relationship Format tables (.sdrf) using a command line ...
This example illustrates the use of regression analysis in a simple random cluster sampling design. The data are from S rndal, Swenson, and Wretman (1992, p. 652). A total of 284 Swedish ...
Adaptive cluster sampling (ACS) has been a very important tool in estimation of population parameters of rare and clustered population. The fundamental idea behind this sampling plan is to decide on ...
Objectives: Cluster randomised trials, in which groups of individuals are randomised, are increasingly being used in the health field. Adopting a clustered approach has implications for the design of ...