Search results
Results From The WOW.Com Content Network
sva: Surrogate Variable Analysis. The sva package contains functions for removing batch effects and other unwanted variation in high-throughput experiment. Specifically, the sva package contains functions for the identifying and building surrogate variables for high-dimensional data sets.
This function computes Akaike's information criterion (AIC), the second-order AIC (AICc), as well as their quasi-likelihood counterparts (QAIC, QAICc) from user-supplied input instead of extracting the values automatically from a model object.
Description. SGCCA extends RGCCA to address the issue of variable selection. Specifically, RGCCA is combined with an L1-penalty that gives rise to Sparse GCCA (SGCCA) which is implemented in the function sgcca (). Given J matrices \mathbf {X_1}, \mathbf {X_2}, ..., \mathbf {X_J}, that represent J sets of variables observed on the same set of n ...
Suppose the risk of the disease (D), given G, X and S can be described by a logistic regression model of the form. log (Pr (D=1)/Pr (D=0)) = alpha + Z*beta. where Z is the entire design matrix (including G, X, possibly S and their interaction with X) and beta is the vector of associated regression coefficients.
TreeDist: Calculate and Map Distances Between Phylogenetic Trees. Implements measures of tree similarity, including information-based generalized Robinson-Foulds distances (Phylogenetic Information Distance, Clustering Information Distance, Matching Split Information Distance; Smith 2020) <doi:10.1093/bioinformatics/btaa614>; Jaccard-Robinson ...
Provides a pipe-friendly framework to performs Shapiro-Wilk test of normality. Support grouped data and multiple variables for multivariate normality tests. Wrapper around the R base function shapiro.test(). Can handle grouped data. Read more: Normality Test in R.
Compute terrain characteristics from elevation data. The elevation values should be in the same units as the map units (typically meter) for projected (planar) raster data. They should be in meter when the coordinate reference system is longitude/latitude. For accuracy, always compute these values on the original data (do not first change the ...
CIBERSORT is an analytical tool developed by Newman et al. to provide an estimation of the abundances of member cell types in a mixed cell population, using gene expression data. Usage CIBERSORT( sig_matrix = lm22, mixture_file, perm, QN = TRUE, absolute, abs_method = "sig.score" )
object: a numeric vector with the maximum temperature, or a data.frame with geographical coordinates (lonlat), or an object of class sf with geometry 'POINT' or 'POLYGON', or an array with two dimensions containing the maximum and minimum temperature, in that order. See details
GWmodel: Geographically-Weighted Models. Techniques from a particular branch of spatial statistics,termed geographically-weighted (GW) models. GW models suit situations when data are not described well by some global model, but where there are spatial regions where a suitably localised calibration provides a better description.