Imports: coda, digest, extraDistr, graphics, grDevices, lubridate,
magrittr, memoise, methods, mvtnorm, nnet, progress, stats,
Suggests: dplyr, here, knitr, pkgdown, rmarkdown, testthat, vdiffr,

Suggests: knitr, pkgdown, rmarkdown, testthat, vdiffr

Title: Linkage Disequilibrium of Ancestry (LDA) and LDA Score (LDAS)
Description: Computation of linkage disequilibrium of ancestry (LDA) and linkage disequilibrium of ancestry score (LDAS). LDA calculates the pairwise linkage disequilibrium of ancestry between single nucleotide polymorphisms (SNPs). LDAS calculates the LDA score of SNPs. The methods are described in Barrie W, Yang Y, Attfield K E, et al (2022) <doi:10.1101/2022.09.23.509097>.

Title: Interactive Visualization of Topic Models
Authors@R: c(person("Carson", "Sievert", role = c("aut", "cre"), email =
"cpsievert1@gmail.com"), person("Kenny", "Shirley", role = "aut",
Description: Tools to create an interactive web-based visualization of a
topic model that has been fit to a corpus of text data using
Latent Dirichlet Allocation (LDA). Given the estimated parameters of
the topic model, it computes various summary statistics as input to
an interactive visualization built with D3.js that is accessed via
a browser. The goal is to help users interpret the topics in their
Suggests: mallet, lda, topicmodels, gistr (>= 0.0.8.99), servr, shiny,
Packaged: 2015-01-23 16:58:48 UTC; cpsievert

Packaged: 2015-10-23 23:58:20 UTC; cpsievert

Title: Calculate and Predict the Low Density Lipoprotein Values
Authors@R: c(person("Petros", "Paplomatas", role = c("aut", "cre"),
person("Kostas", "Anagnostopoulos", role = c("aut", "ctb"),
Description: A wide variety of ways to calculate (through equations) or predict (using 9 Machine Learning methods as well as a stack algorithm combination of them all) the Low Density Lipoprotein values of patients based on the values of three other metrics as Total Cholesterol , Triglyceride and High Density Lipoprotein.
Imports: data.table, caret, caretEnsemble, lares, corrplot,
RColorBrewer, lattice, resample, glmnet, earth, kernlab, gbm,