The following pages link to volume (P26):
Displaying 50 items.
- HACSim: an R package to estimate intraspecific sample sizes for genetic diversity assessment using haplotype accumulation curves (Q105640) (← links)
- The Use of Sample Weights in Multivariate Multilevel Models with an Application to Income Data Collected by Using a Rotating Panel Survey (Q105669) (← links)
- A DISCRIMINANT FUNCTION FOR PLANT SELECTION (Q105685) (← links)
- Measuring the Deterrent Effect of European Cartel Law Enforcement (Q105690) (← links)
- SIRUS: Stable and Interpretable RUle Set for classification (Q105697) (← links)
- A Continuous Solution to the Norming Problem (Q105724) (← links)
- Continuous norming of psychometric tests: A simulation study of parametric and semi-parametric approaches (Q105725) (← links)
- Improvement of Norm Score Quality via Regression-Based Continuous Norming (Q105726) (← links)
- Applying the Horvitz-Thompson criterion in complex designs: A computer-intensive perspective for estimating inclusion probabilities (Q105732) (← links)
- RobPer: An R Package to Calculate Periodograms for Light Curves Based on Robust Regression (Q105747) (← links)
- CePa: an R package for finding significant pathways weighted by multiple network centralities (Q105752) (← links)
- spMC: Modelling Spatial Random Fields with Continuous Lag Markov Chains (Q105778) (← links)
- spMC: an R-package for 3D lithological reconstructions based on spatial Markov chains (Q105781) (← links)
- Competing Risks Regression for Stratified Data (Q105796) (← links)
- Competing risks regression for clustered data (Q105801) (← links)
- Goodness-of-fit test for proportional subdistribution hazards model (Q105803) (← links)
- ThelifecontingenciesPackage: Performing Financial and Actuarial Mathematics Calculations inR (Q105831) (← links)
- Fast construction of interpretable whole-brain decoders (Q105847) (← links)
- bdvis: visualizing biodiversity data in R (Q105869) (← links)
- Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies (Q105878) (← links)
- A Generalized Concordance Correlation Coefficient Based on the Variance Components Generalized Linear Mixed Models for Overdispersed Count Data (Q105889) (← links)
- Statistical tests for multiple forecast comparison (Q105896) (← links)
- Fast Prediction of Deterministic Functions Using Sparse Grid Experimental Designs (Q105906) (← links)
- Composite grid designs for adaptive computer experiments with fast inference (Q105911) (← links)
- Biclustering via sparse clustering (Q105950) (← links)
- Numerical Computation of Multivariate Normal Probabilities (Q105976) (← links)
- Exploiting low-rank covariance structures for computing high-dimensional normal and Student-t probabilities (Q105978) (← links)
- tlrmvnmvt: Computing High-Dimensional Multivariate Normal and Student-t Probabilities with Low-Rank Methods in R (Q105979) (← links)
- Complex systems: Network thinking (Q105986) (← links)
- Time series analysis via network science: Concepts and algorithms (Q105996) (← links)
- Nonparametric cluster significance testing with reference to a unimodal null distribution (Q106001) (← links)
- Prices of State Contingent Claims with Insider Traders, and the Favourite-Longshot Bias (Q106015) (← links)
- Bayesian regression models for ecological count data in PyMC3 (Q106032) (← links)
- Evaluating the Long-term Efficacy of Coronavirus Disease 2019 (COVID-19) Vaccines (Q106073) (← links)
- Evaluating Vaccine Efficacy Against Severe Acute Respiratory Syndrome Coronavirus 2 Infection (Q106075) (← links)
- Characterizing mutagenic effects of recombination through a sequence-level genetic map (Q106121) (← links)
- Ecological and biogeographic null hypotheses for comparing rarefaction curves (Q106138) (← links)
- An R package and tutorial for case 2 best–worst scaling (Q106144) (← links)
- Clause Analysis: Using Syntactic Information to Automatically Extract Source, Subject, and Predicate from Texts with an Application to the 2008–2009 Gaza War (Q106155) (← links)
- Analysis of the Proportional Hazards Model With Sparse Longitudinal Covariates (Q106174) (← links)
- Training set determination for genomic selection (Q106185) (← links)
- Optimal Whitening and Decorrelation (Q106200) (← links)
- A whitening approach to probabilistic canonical correlation analysis for omics data integration (Q106201) (← links)
- On last observation carried forward and asynchronous longitudinal regression analysis (Q106206) (← links)
- Regression Analysis of Sparse Asynchronous Longitudinal Data (Q106208) (← links)
- Modeling survival distribution as a function of time to treatment discontinuation: A dynamic treatment regime approach (Q106219) (← links)
- Outcome-dependent sampling with interval-censored failure time data (Q106240) (← links)
- Case-cohort studies with interval-censored failure time data (Q106244) (← links)
- medExtractR: A targeted, customizable approach to medication extraction from electronic health records (Q106254) (← links)
- Seasonal integration and cointegration (Q106272) (← links)
