clusterGeneration - Random Cluster Generation (with Specified Degree of Separation)
We developed the clusterGeneration package to provide functions for generating random clusters, generating random covariance/correlation matrices, calculating a separation index (data and population version) for pairs of clusters or cluster distributions, and 1-D and 2-D projection plots to visualize clusters. The package also contains a function to generate random clusters based on factorial designs with factors such as degree of separation, number of clusters, number of variables, number of noisy variables.
Last updated 1 years ago
6.42 score 1 stars 91 packages 201 scripts 9.6k downloadspowerMediation - Power/Sample Size Calculation for Mediation Analysis
Functions to calculate power and sample size for testing (1) mediation effects; (2) the slope in a simple linear regression; (3) odds ratio in a simple logistic regression; (4) mean change for longitudinal study with 2 time points; (5) interaction effect in 2-way ANOVA; and (6) the slope in a simple Poisson regression.
Last updated 4 years ago
3.96 score 3 stars 2 packages 63 scripts 604 downloadsGeneSelectMMD - Gene selection based on the marginal distributions of gene profiles that characterized by a mixture of three-component multivariate distributions
Gene selection based on a mixture of marginal distributions.
Last updated 27 days ago
differentialexpression
3.78 score 1 packages 1 scripts 285 downloadssizepower - Sample Size and Power Calculation in Micorarray Studies
This package has been prepared to assist users in computing either a sample size or power value for a microarray experimental study. The user is referred to the cited references for technical background on the methodology underpinning these calculations. This package provides support for five types of sample size and power calculations. These five types can be adapted in various ways to encompass many of the standard designs encountered in practice.
Last updated 27 days ago
microarray
3.60 score 3 scripts 240 downloadsMMDvariance - Detecting Differentially Variable Genes Using the Mixture of Marginal Distributions
Gene selection based on variance using the marginal distributions of gene profiles that characterized by a mixture of three-component multivariate distributions. Please see the reference: Li X, Fu Y, Wang X, DeMeo DL, Tantisira K, Weiss ST, Qiu W. (2018) <doi:10.1155/2018/6591634>.
Last updated 6 years ago
bioinformaticsdifferentialexpression
1.00 score 2 scripts 177 downloads