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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/>.
Functions and Datasets Required for ST370 Class
Provides functions and datasets required for the ST 370 course at North Carolina State University.
Estimating Causal Dose Response Functions
Functions and data to estimate causal dose response functions given continuous, ordinal, or binary treatments. A description of the methods is given in Galagate (2016) < https://drum.lib.umd.edu/handle/1903/18170>.
The Ramer-Douglas-Peucker Algorithm
Pretty fast implementation of the Ramer-Douglas-Peucker algorithm for reducing the number of points on a 2D curve.
Urs Ramer (1972), "An iterative procedure for the polygonal approximation of plane curves"