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Showing entries 34901-35000 out of 55501.
r-plyxpNix package
r-pm3Nix package
Propensity Score Matching for Unordered 3-Group Data
r-pm4pyNix package
r-PMANix package
Penalized Multivariate Analysis
r-PMA2Nix package
Identify Prognosis-Related Pathways Altered by Somatic Mutation
Panomics Marketplace - Quality Control and Statistical Analysis for Panomics Data
r-pmcNix package
Phylogenetic Monte Carlo
Calibration Curves for Clinical Prediction Models
r-pmcgdNix package
Parallel Model-Based Clustering using Expectation-Gathering-Maximization Algorithm for Finite Mixt…
r-PMCMRNix package
Calculate Pairwise Multiple Comparisons of Mean Rank Sums
Calculate Pairwise Multiple Comparisons of Mean Rank Sums Extended
r-pmdNix package
Paired Mass Distance Analysis for GC/LC-MS Based Non-Targeted Analysis and Reactomics Analysis
r-pMEMNix package
Predictive Moran's Eigenvector Maps
Processing METAR Weather Reports
r-pmevNix package
Calculates Earned Value for a Project Schedule
Calculation of the Penman-Monteith Evapotranspiration using Weather Variables
Minimal Working Examples for Particle Metropolis-Hastings
Internal Validation of Clinical Prediction Models
r-pmlbrNix package
Interface to the Penn Machine Learning Benchmarks Data Repository
Deconvolution Density Estimation using Penalized MLE
r-pmmNix package
r-pmmlNix package
Generate PMML for Various Models
Transforms Input Data from a PMML Perspective
r-pmpNix package
Create and Maintain a Relational Database of Data from PubMed/MEDLINE
r-pmppNix package
r-pmrNix package
Probability Models for Ranking Data
Sample Size for Development of a Prediction Model
One-Sided Multinomial Probabilities
Sample Size for External Validation of a Prediction Model
r-pmwgNix package
Particle Metropolis Within Gibbs
r-PMwRNix package
Portfolio Management with R
Create Pharmacometric Models
r-pmxcvNix package
Integration-Based Coefficients of Variance
Parameter Tables for PMx Analyses
Pharmacometric and Pharmacokinetic Toolkit
Downloading, Reading and Analyzing PNADC Microdata
r-PNARNix package
Poisson Network Autoregressive Models
r-pndNix package
Parallel Numerical Derivatives, Gradients, Jacobians, and Hessians of Arbitrary Accuracy Order
Downloading, Reading and Analyzing PNDS Microdata - Package in Development
r-pngNix package
Read and write PNG images
r-pnnNix package
Downloading, Reading and Analyzing PNS Microdata
Color Palettes Inspired by Nature in the US Pacific Northwest
r-PO.ENNix package
r-PoANix package
Finds the Price of Anarchy for Routing Games
Wrapper Around the 'Pocket' API
r-POCRENix package
Penalized Orthogonal-Components Regression
r-pocrmNix package
Dose Finding in Drug Combination Phase I Trials Using PO-CRM
r-PODNix package
Probability of Detection for Qualitative PCR Methods
Vaccine Efficacy Estimation Package
Legacy Scottish Post Office Directories Cleaner
r-PODESNix package
Village Potential Statistics of Indonesia
r-podrNix package
r-poemNix package
r-poemsNix package
Pattern-Oriented Ensemble Modeling System
r-POETNix package
Principal Orthogonal ComplEment Thresholding (POET) Method
r-pogitNix package
Bayesian Variable Selection for a Poisson-Logistic Model
r-pogosNix package
DataCrunchers (PogromcyDanych) is the Massive Online Open Course that Brings R and Statistics to t…
The Poisson Binomial Distribution
Classification and Clustering of Sequencing Data Based on a Poisson Model
Poisson Lognormal and Bivariate Poisson Lognormal Distribution
r-POINTNix package
Protein Structure Guided Local Test
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
Working Comfortably with Pointers and Shortcuts to R Objects
Analyzing Pointer Years and Components of Resilience
r-poioNix package
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
Factorization of Sparse Counts Matrices Through Poisson Likelihood
Simultaneous Generation of Count and Continuous Data
Simultaneous Generation of Multivariate Data with Poisson and Normal Marginals
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