page of the book
Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS and Stan
Fränzi Korner-Nievergelt, Tobias Roth, Stefanie von Felten, Jérôme Guélat, Bettina Almasi, Pius Korner-Nievergelt
Elsevier, New York, 2015
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page of the book Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS and Stan Fränzi Korner-Nievergelt, Tobias Roth, Stefanie von Felten, Jérôme Guélat, Bettina Almasi, Pius Korner-Nievergelt Elsevier, New York, 2015 |
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Here, we provide the full R, BUGS, and Stan code plus additional information. We cannot provide the full book, please, buy it here.
All data files and some additional functions are published in the R-package blmeco on CRAN.
Chapter 2: Prerequisites and Vocabulary
R-code
Exercises
Solutions to
the exercises
Chapter 3: The Bayesian and the Frequentist Ways of Analyzing Data
Chapter 4: Normal Linear Models
R-code
Exercises
Solutions to the
exercises
Chapter 5: Likelihood
Chapter 6: Assessing Model Assumptions
Chapter 7: Linear Mixed Effects Models
R-code
Exercises
Some
solutions to the exercises
Chapter 8: Generalized Linear Models
Chapter 9: Generalized Linear Mixed Models
R-code
Exercises
Solutions to exercises
Chapter 10: Posterior Predictive Model Checking and Proportion of Explained Variance
R-code predictive
model checking
R-code
explained variance
Chapter 11: Model Selection and Multimodel Inference
Chapter 12: Markov Chain Monte Carlo Simulation
Chapter 13: Modeling Spatial Data Using GLMM
Chapter 14: Advanced Ecological Models
R-code Hierarchical multinomial model to analyze habitat selection using BUGS
R-code Zero-Inflated Poisson mixed model for analyzing breeding success using Stan
R-code Occupancy model to measure species distribution using Stan
R-code Territory occupancy model to estimate survival using BUGS
BUGS file: territoryoccupancy.txt
R-code Analyzing survival based on mark-recapture data using Stan
Chapter 15: Prior Influence and Parameter Estimability
BUGS files:
Stan files:
linreg.stanpriorinflusigma.txt