Showing entries 32401-32500 out of 58836.
Process-Based Modelling of Microbial Populations
Finding Optimal Microsampling Designs for Non-Compartmental Pharmacokinetic Analysis
Sequence Error Filter for Formalin-Fixed and Paraffin-Embedded Samples
Basic Biological Sequence Handling
Discrete Event Simulation in R and C++, with Tools for Cost-Effectiveness Analysis
Interface to the 'Microsoft 365' Suite of Cloud Services
Synthetic Control Methods with Micro- And Meso-Level Data
The Computing of Monotonic Spline Bases and Constrained Least-Squares Estimates
Estimation and Prediction Methods for High-Dimensional Mixed Frequency Time Series Data
Multiple Imputation by Distance Aided Donor Selection
Microcluster-Based Detector of Anomalies in Edge Streams
Tools and Methods for Working with MIDFIELD Data in 'R'
Nearly Exact Sample Size Calculation for Exact Powerful Nonrandomized Tests for Differences Betwee…
A 'tidymodels' Engine and Other Extensions for the 'midr' Package
Multiple Comparisons Procedures Based on Studentized Midrange and Range Distributions
Mixed Integer Evolution Strategies
Estimate Migratory Connectivity for Migratory Animals
Segment-Based Migration Detection Algorithm
Model Implied Instrumental Variable (MIIV) Estimation of Structural Equation Models
User-Friendly R Package for Supervised Machine Learning Pipelines
Calculates Microbial Lag Duration (on the Population Level) from Provided Growth Curve Data
Association Tests for Microbial Lineages on a Taxonomic Tree
Mixed Logistic Regression for Genome-Wide Analysis Studies (GWAS)
Algorithm to Compute Monitor Independent Movement Summary Unit (MIMS-Unit)
Minimally Changed Two-Level Half-Fractional Factorial Designs
Data sets included in Utts and Heckard's Mind on Statistics
Extract and Analyze Median Molecule Intensity from 'citrus' Output
A Bayesian Design for Minimum Effective Dosing-Finding Trial
Play Minesweeper
Mine Sweeper Game
All Possible Minimally Changed Factorial Run Orders
Create a Mini Version of CRAN Containing Only Selected Packages
Create Simple Yet Powerful HTML Documents with Light Weight CSS Frameworks
Build a Minimalist Gene Ontology (GO) Database (GODB)