An R package for Bayesian semi-parametric modelling of in-vitro drug combination experiments
-
Updated
Oct 29, 2020 - C++
An R package for Bayesian semi-parametric modelling of in-vitro drug combination experiments
Let's create pipopaplot because your plots deserve to sing 🎶
An R package to generate multivariate t-distributed random numbers
Corpus and Vocabulary Preprocessing Utilities for Natural Language Pipelines
An R package for visualizing and analyzing a spatial model of intratumor heterogeneity
BLAST without Sys.Call()
Generate pseudo-random vectors whose elements sum of to one
Fast tools for integer sorting
Repository for ptsuite R-package
Perform a Bayesian estimation of the exploratory Sparse Latent Class Model for Binary Data described by Chen, Y., Culpepper, S. A., and Liang, F. (2020) <https://doi.org/10.1007/s11336-019-09693-2>
An algorithm that designs blocked Response-Adaptive Randomized (RAR) clinical trials
Rcpp extension of eigvaldisp
Bayesian Entity Resolution with Exchangeable Random Partition Priors
Instant Polychoric and Polyserial Correlation
R package wrapping libnabo: fast K Nearest Neighbor search for low dimensions
Add a description, image, and links to the r-package topic page so that developers can more easily learn about it.
To associate your repository with the r-package topic, visit your repo's landing page and select "manage topics."