The following pages link to RcppArmadillo (Q21298):
Displaying 36 items.
- Efficient likelihood estimation of generalized structural equation models with a mix of normal and nonnormal responses (Q2066609) (← links)
- A likelihood-based boosting algorithm for factor analysis models with binary data (Q2076167) (← links)
- Approximate Laplace importance sampling for the estimation of expected Shannon information gain in high-dimensional Bayesian design for nonlinear models (Q2080366) (← links)
- Semi-supervised nonparametric Bayesian modelling of spatial proteomics (Q2080769) (← links)
- Sparse linear mixed model selection via streamlined variational Bayes (Q2084474) (← links)
- Exploratory restricted latent class models with monotonicity requirements under Pòlya-gamma data augmentation (Q2088917) (← links)
- Scalable proximal methods for cause-specific hazard modeling with time-varying coefficients (Q2134154) (← links)
- Direct statistical inference for finite Markov jump processes via the matrix exponential (Q2135942) (← links)
- Modeling partially surveyed point process data: inferring spatial point intensity of geomagnetic anomalies (Q2209858) (← links)
- Spatial spread sampling using weakly associated vectors (Q2209877) (← links)
- Clustering non-linear interactions in factor analysis (Q2221225) (← links)
- Assessing dynamic effects on a Bayesian matrix-variate dynamic linear model: an application to task-based fMRI data analysis (Q2242164) (← links)
- Predicting paleoclimate from compositional data using multivariate Gaussian process inverse prediction (Q2291528) (← links)
- Scalable Bayesian inference for the inverse temperature of a hidden Potts model (Q2297228) (← links)
- Climate inference on daily rainfall across the Australian continent, 1876--2015 (Q2318650) (← links)
- Clustering via finite nonparametric ICA mixture models (Q2418084) (← links)
- Hierarchical clustering with discrete latent variable models and the integrated classification likelihood (Q2673349) (← links)
- Smoothed quantile regression with large-scale inference (Q2682954) (← links)
- Subject-specific Dirichlet-multinomial regression for multi-district microbiota data analysis (Q2686051) (← links)
- JADE for Tensor-Valued Observations (Q3391095) (← links)
- Inference for the Number of Topics in the Latent Dirichlet Allocation Model via Bayesian Mixture Modeling (Q3391266) (← links)
- (Q5054610) (← links)
- Handling missing birthdates in marginal regression analysis with recurrent events (Q5083967) (← links)
- Maximum likelihood estimation of Gaussian copula models for geostatistical count data (Q5088088) (← links)
- CircSpaceTime: an R package for spatial and spatio-temporal modelling of circular data (Q5107778) (← links)
- An Introduction to Clustering with R (Q5119497) (← links)
- Spatial blind source separation (Q5127210) (← links)
- Subject-specific modelling of paired comparison data: A lasso-type penalty approach (Q5142180) (← links)
- Bayesian Scalar on Image Regression With Nonignorable Nonresponse (Q5146011) (← links)
- (Q5148940) (← links)
- A Hybrid Estimate for the Finite-Time Ruin Probability in a Bivariate Autoregressive Risk Model with Application to Portfolio Optimization (Q5168698) (← links)
- Oracle M‐Estimation for Time Series Models (Q5346585) (← links)
- Seamless R and C++ Integration with Rcpp (Q5403746) (← links)
- Shape-constrained semiparametric additive stochastic volatility models (Q5879997) (← links)
- Extending <i>R</i> with C++: A Brief Introduction to Rcpp (Q5882499) (← links)
- Pre-processing for approximate Bayesian computation in image analysis (Q5963548) (← links)
