Showing entries 34901-35000 out of 55501.
Identify Prognosis-Related Pathways Altered by Somatic Mutation
Calibration Curves for Clinical Prediction Models
Parallel Model-Based Clustering using Expectation-Gathering-Maximization Algorithm for Finite Mixt…
Calculate Pairwise Multiple Comparisons of Mean Rank Sums Extended
Paired Mass Distance Analysis for GC/LC-MS Based Non-Targeted Analysis and Reactomics Analysis
Calculation of the Penman-Monteith Evapotranspiration using Weather Variables
Minimal Working Examples for Particle Metropolis-Hastings
Internal Validation of Clinical Prediction Models
Deconvolution Density Estimation using Penalized MLE
Transforms Input Data from a PMML Perspective
Create and Maintain a Relational Database of Data from PubMed/MEDLINE
Sample Size for Development of a Prediction Model
One-Sided Multinomial Probabilities
Sample Size for External Validation of a Prediction Model
Parameter Tables for PMx Analyses
Pharmacometric and Pharmacokinetic Toolkit
Downloading, Reading and Analyzing PNADC Microdata
Parallel Numerical Derivatives, Gradients, Jacobians, and Hessians of Arbitrary Accuracy Order
Downloading, Reading and Analyzing PNDS Microdata - Package in Development
Color Palettes Inspired by Nature in the US Pacific Northwest
Wrapper Around the 'Pocket' API
Legacy Scottish Post Office Directories Cleaner
DataCrunchers (PogromcyDanych) is the Massive Online Open Course that Brings R and Statistics to t…
Classification and Clustering of Sequencing Data Based on a Poisson Model
Data Validation and Organization of Metadata for Local and Remote Tables
Point Density for Geospatial Data
Fit Models Derived from Point Processes to Species Distributions using 'inlabru'
Interpretation of Point Forecasts as State-Dependent Quantiles and Expectiles
Analyzing Pointer Years and Components of Resilience
Data Generation with Poisson, Binary and Continuous Components
A Faster Implementation of the Poisson-Binomial Distribution
Data Generation with Poisson, Binary and Ordinal Components
Generation of Up to Four Different Types of Variables
Data Generation with Poisson, Binary, Ordinal and Normal Components
Confidence Intervals with Poisson Double Sampling
Poisson Fixed Effects Robust
Simultaneous Generation of Count and Continuous Data
Efficient Computation of Ordinary and Generalized Poisson Binomial Distributions
Poisson Disk Sampling in 2D and 3D
Robust M-Estimators Based on Transformations for Poisson Model
The Poisson-Multinomial Distribution
Poisson-Noise Corrected PCA
Model Wrappers for Poisson Regression