MyNixOS website logo
categories

development

Showing entries 30501-30600 out of 57642.
r-magicNix package
Create and Investigate Magic Squares
Pretty Scientific Plotting with Minor-Tick and Log Minor-Tick Support
Magic Functions to Obtain Results from for Loops
Advanced Graphics and Image-Processing in R
GUI Tools for Interactive Image Processing with 'magick'
'WeMo Switch' Smart Plug Utilities
Clustering and Prediction using Multi-Task Gaussian Processes with Common Mean
R-Client for Interacting with the 'UCSF Data Library'
A Pipeline for Meta-Genome Wide Association
Implements the O'Connell-Dobson-Schouten Estimators of Agreement for Multiple Observers
A Forward-Pipe Operator for R
r-maGUINix package
A Graphical User Interface for Microarray Data Analysis and Annotation
r-MAINix package
r-maicNix package
Matching-Adjusted Indirect Comparison
Exact Matching and Matching-Adjusted Indirect Comparison (MAIC)
Matching Adjusted Indirect Comparison
Performing Matched-Adjusted Indirect Comparisons (MAIC)
r-maidrNix package
r-mailNix package
Get Mailchimp Data via the 'Windsor.ai' API
Mail Merge Using R Markdown Documents and 'gmailr'
r-mailRNix package
A Utility to Send Emails from R
Creates a Friendly User Interface for Emails Sending in 'shiny'
Main Existing Human Datasets
r-MAITNix package
r-MAIVENix package
Meta Analysis Instrumental Variable Estimator
K-Means Algorithm with a Majorization-Minimization Method
K-Means Algorithm with a Majorization-Minimization Method
Create Dummy Variables from Categorical Data
Create 'Makefiles' Using R
Visualizing Sequential Classifications
Run R Scripts if Needed
Intuitive Construction of Joint Priors for Variance Parameters
Make Palette
Pipeline Tools Inspired by 'GNU Make'
Creates an empty package framework for the LCFD format
Exploring and Testing the Toolchain and System Libraries
Make Character Strings Unique
Maki Cointegration Test with Structural Breaks
r-MAKLNix package
Multiple Approximate Kernel Learning (MAKL)
r-malanNix package
MAle Lineage ANalysis
Machine Learning Assisted Network Inference
An R Interface to Open-Access Malaria Data, Hosted by the 'Malaria Atlas Project'
Text Mining for Bahasa Malaysia
Automated MALDI Cell Assays Using Dose-Response Curve Fitting
Dereplicate and Cherry-Pick Mass Spectrometry Spectra
Quantitative Analysis of Mass Spectrometry Data
Import/Export Routines for 'MALDIquant'
MALDI Mass Spectrometry Data Robust Pre-Processing and Analysis
r-mallNix package
Run Multiple Large Language Model Predictions Against a Table, or Vectors
An R Wrapper for the Java Mallet Topic Modeling Toolkit
Islas Malvinas, Georgias Del Sur y Sándwich Del Sur
Access to the List of Mammal Species of Colombia
r-MAMSNix package
Designing Multi-Arm Multi-Stage Studies
Providing the Kubernetes-Like Functions for the Non-Kubernetes Cloud Service
Manage a CRAN-Style Local Repository
Matrix Analysis and Normalization by Concordant Information Enhancement
r-mandNix package
Multivariate Analysis for Neuroimaging Data
Building Mandalas from Parametric Equations of Classical Curves
Generates Views on the Mandelbrot Set
r-manetNix package
Multiple Allocation Model for Actor-Event Networks
Risk Prediction on Trees
Interactive Q-Q and Manhattan Plots Using 'plotly.js'
The Manhattan++ Plot
Access and Process Data and Documents of the Manifesto Project
Operations for Riemannian Manifolds
An R Interface to the 'ROPTLIB' Library for Riemannian Manifold Optimization
Interactive Plots for RStudio
Add Even More Interactivity to Interactive Charts
Manly Mixture Modeling and Model-Based Clustering
Computing Mann-Whitney Effect Based on Copulas
r-MANORNix package
Tools for Normalizing and Comparing ChIP-seq Samples
r-mantaNix package
Multivariate Asymptotic Non-Parametric Test of Association
A Machine-Learning Based Tool to Automate the Identification of Biological Database IDs
Missingness Alleviation for Network Analysis
Multiple Time Series Scanner
Spatiotemporal Nutrient Balance Analysis Across Agricultural and Municipal Systems
Many Global Governance Datacubes
Unbiased Distances for Mixed-Type Data
Environmental Phillips Curve Analysis with Multiple Instrumental Variables and Networks
Build and Tune Several Models