The following pages link to DOI (P27):
Displaying 50 items.
- RápidoPGS: A rapid polygenic score calculator for summary GWAS data without a test dataset (Q105531) (← links)
- Various Versatile Variances: An Object-Oriented Implementation of Clustered Covariances in R (Q105543) (← links)
- Econometric Computing with HC and HAC Covariance Matrix Estimators (Q105544) (← links)
- Object-Oriented Computation of Sandwich Estimators (Q105545) (← links)
- Estimating Time-Evolving Partial Coherence Between Signals via Multivariate Locally Stationary Wavelet Processes (Q105576) (← links)
- Economic transition and growth (Q105606) (← links)
- Identifying Hidden Rate Changes in the Evolution of a Binary Morphological Character: The Evolution of Plant Habit in Campanulid Angiosperms (Q105613) (← links)
- Visualization of Brain Statistics With R Packages ggseg and ggseg3d (Q105626) (← links)
- An exploration of sufficient sampling effort to describe intraspecific DNA barcode haplotype diversity: examples from the ray-finned fishes (Chordata: Actinopterygii) (Q105636) (← links)
- Incomplete estimates of genetic diversity within species: Implications for DNA barcoding (Q105638) (← links)
- HACSim: an R package to estimate intraspecific sample sizes for genetic diversity assessment using haplotype accumulation curves (Q105640) (← links)
- Practical and powerful kernel-based change-point detection (Q105649) (← links)
- Fast cross-validation for multi-penalty ridge regression (Q105664) (← 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)
- Using soybean historical field trial data to study genotype by environment variation and identify mega-environments with the integration of genetic and non-genetic factors (Q105704) (← 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)
- Spline Regression with Automatic Knot Selection (Q105861) (← links)
- Objective Bayesian meta-analysis based on generalized multivariate random effects model (Q105865) (← links)
- bdvis: visualizing biodiversity data in R (Q105869) (← links)
- Using Machine Learning to Test Causal Hypotheses in Conjoint Analysis (Q105874) (← links)
- Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies (Q105878) (← links)
- New graph-based multi-sample tests for high-dimensional and non-Euclidean data (Q105886) (← 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)
- Gaussian Processes for Machine Learning (Q105914) (← links)
- Surrogates (Q105916) (← 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)
- Machine Learning in Complex Networks (Q105989) (← links)
- Time series analysis via network science: Concepts and algorithms (Q105996) (← links)
