Barnes and Noble Latent Variable Modeling with R / Edition 1 at Mall of America® in Bloomington, MN

Latent Variable Modeling Using R: A Step-by-Step Guide

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Modern Applied Regressions: Bayesian and Frequentist Analysis of Categorical Limited Response Variables with R Stan

Competing Risks and Multistate Models with R

Mixture and Hidden Markov Models with R

Statistical Modeling Using Bayesian Latent Gaussian Models: With Applications Geophysics and Environmental Sciences

Ecological Models and Data in R: Statistics, Statistics

Mixed Effects Models and Extensions Ecology with R

Statistical Regression Modeling with R: Longitudinal and Multi-level

Practical Attribute and Variable Measurement Systems Analysis (MSA): A Guide for Conducting Gage R&R Studies Test Method Validations

Machine Learning with R Cookbook - Second Edition: Explore over 110 recipes to analyze data and build predictive models with simple and easy-to-use R code

Deep Learning with R for Beginners: Design neural network models in R 3.5 using TensorFlow, Keras, and MXNet

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Latent Variable Modeling with R / Edition 1

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