Showing entries 20201-20300 out of 30460.
Estimate Causal Polytree from Data
Trend Classification Algorithm
Bootstrapped Basis Regression with Oracle Model Selection
Power for Meta-Analysis of Dependent Effects
Adaptive Association Tests for Multiple Phenotypes using Proportional Odds Model (POM-aSPU)
Graphical Check for Proportional Odds Assumption
Infrastructure for Partially Observable Markov Decision Processes (POMDP)
Interface to 'pomdp-solve' for Partially Observable Markov Decision Processes
Pattern Oriented Modelling Information Criterion
Predictive Power of Linear and Tree Modeling
Statistical Inference for Partially Observed Markov Processes
Person-Oriented Method and Perturbation on the Model
Presence-Only for Marked Point Process
Phylogenetic Organization of Metagenomic Signals
Poolability Tests in Panel Data
Partial Orders and Relations
Object Pooling
Approximate Bayesian Computation with Pooled Sequencing Data
Balancing Central and Marginal Rejection of Pooled p-Values
Calculate Gross Biogeochemical Flux Rates from Isotope Pool Dilution Data
Predicted Risk for CVD using Pooled Cohort Equations, PREVENT Equations, and Other Contemporary CV…
Pooled Mean Group Estimation of Dynamic Heterogenous Panels
Genetic Analysis of Pooled Samples
Computing f-Statistics and Building Admixture Graphs Based on Allele Count or Pool-Seq Read Count …
Simulates Pooled Sequencing Genetic Data
Fit Poolwise Regression Models
Methods for Pooling P-Values from (Dependent) Tests
Prevalence and Regression for Pool-Tested (Group-Tested) Data
Gene-Based Association Tests using the Actual Impurity Reduction (AIR) Variable Importance
A Poor Man's Dependency Free Recreation of 'dplyr'
A Flexible Syntax for Population Dynamic Modelling
Bayesian Model to Estimate Population Trends from Counts Series
Construction and Analysis of Matrix Population Models
Population-Level Cell-Cell Communication Analysis Tools
Demographic Modelling Using Projection Matrices
Posterior Predictive (PoP) Design for Phase I Clinical Trials
Population (and Individual) Optimal Experimental Design
Functions for Epidemiological Analysis using Population Data
Streamline Population Genomic and Genetic Analyses
Accompaniment to Population Genetics with R: An Introduction for Life Scientists
A Simple Framework to Analyse Population and Landscape Genetic Data
Assumption-Lean and Data-Adaptive Post-Prediction Inference
Estimate Kinship and FST under Arbitrary Population Structure
Classify Digital PCR Droplets by Fitting Fluorescence Populations
Genetic Analysis of Populations with Mixed Reproduction
Population Pyramids
Reconstruct Human Populations of the Recent Past
A Fast, User-Friendly Implementation of Self-Organizing Maps (SOMs)
Applied Techniques to Demographic and Time Series Analysis
Estimate Smooth and Linear Trends from Population Count Survey Data
Create Data Frames for the Micro-Simulation of Human Populations
Models for Simulating Populations
Linear Population Growth Scenarios
Designing Population PDX Studies
Population Downscaling Using Areal Interpolation
Genomic Breeding Tools: Genetic Variance Prediction and Cross-Validation
Ridge-Type Penalized Estimation of a Potpourri of Models
Get the Same, Personal, Free 'TCP' Port over and over
Acceder Con R a Los Datos Del Portal De Hacienda
Create Useful Summaries of the Portal Data
Portmanteau Tests for Time Series Models
Analysing Equity Portfolios
Portfolio Analysis, Including Numerical Methods for Optimization of Portfolios
Automated Backtesting of Portfolios over Multiple Datasets
Small/Large Sample Portfolio Optimization
Extracting a Data Portion
Portfolio Analysis for Nature
Portfolio Risk Analysis
Factor-Based Portfolio Sorts
Vine Based (Un)Conditional Portfolio Risk Measure Estimation
Analysis of Partially Ordered Data
Partially Ordered Sets in R
Valid Post-Selection Inference for Linear LS Regression
Post-Selection Inference for Adjusted R Squared
Post-Selection Inference via Simultaneous Confidence Intervals
Individual Dose Optimization using Population Pharmacokinetics
Quotient of Random Variables Conditioned to the Positive Quadrant
Power Simulation for Sequential Analyses and Multiple Hypotheses