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Examples from Multilevel Modelling Software Review
Data and examples from a multilevel modelling software review as well as other well-known data sets from the multilevel modelling literature.
'R' 'Markdown' Format for 'shower' Presentations
'R' 'Markdown' format for 'shower' presentations, see < https://github.com/shower/shower>.
Benchmark the Performance of 'shiny' Applications
Compare performance between different versions of a 'shiny' application based on 'git' references.
Quick Multivariate Graphs
Functions used for graphing in multivariate contexts. These functions are designed to support produce reasonable graphs with minimal input of graphing parameters. The motivation for these functions was to support students learning multivariate concepts and R - there may be other functions and packages better-suited to practical data analysis. For details about the ellipse methods see Johnson and Wichern (2007, ISBN:9780131877153).
Approximate Marginal Inference for Regression-Scale Models
Implements likelihood inference based on higher order approximations for linear nonnormal regression models.
Probability of Sporulation Potential in MAGs
Implements an ensemble machine learning approach to predict the sporulation potential of metagenome-assembled genomes (MAGs) from uncultivated Firmicutes based on the presence/absence of sporulation-associated genes.
Collection of Household Survey Packages Conducted by IBGE
Provides access to packages developed for downloading, reading and analyzing microdata from household surveys in Integrated System of Household Surveys - SIPD conducted by Brazilian Institute of Geography and Statistics - IBGE. More information can be obtained from the official website < https://www.ibge.gov.br/>.
Convenient Snapshot Testing Functions for Packages
Provides convenient snapshot testing functions for packages, including expect_snapshot_data() for data.frames and expect_snapshot_object() for any R object.
Stability Analysis with Fuzzy Logic
It integrates 'fuzzy logic' into the analysis of genotype adaptability and stability. By classifying genotypes based on degrees of belonging, the package provides a detailed assessment of their behavior in different environmental groups.
Functions and Datasets Required for ST370 Class
Provides functions and datasets required for the ST 370 course at North Carolina State University.