Noteworthy changes include: substantial expansions to sections 10.3.1 (multinomial regression) and 11.3.2 (negative binomial regression), the addition of a new section in Chapter 15 (15.9) encouraging others to code in public, refitting all models with the current official version of brms, version 2.12.0, discussions (8.3.2) on the new Bulk_ESS and Tail_ESS summaries of HMC effective sample size (Vehtari et al., 2019), saving all fits as external files in the new GitHub fits folder, primarily with the file argument, extensive use of the patchwork package for combining ggplots, improving/updating some of the tidyverse code (e.g., using tidyr::crossing()), updates to the brms::custom_family()-related code in 11.3.1 to match brms 2.1...
This is the first full draft containing brms versions of all of Kruschke's JAGS and Stan models, exc...
Notable updates include: Chapter 23 for cumulative probit models, Chapter 24 for hierarchical Poiss...
General New vignette Different Output between Stata and ggeffects. Changes to functions ggpr...
Major improvements include: a corrected workflow for fitting single-level b-spline models (Section ...
Noteworthy changes include: the correct solution to the first multinomial model in Section 10.16;...
The notable updates are: the addition of Chapter 22 for multinomial regression, more prose and reso...
Noteworthy changes include: using the Metropolis algorithm to fit the bivariate Bernoulli model for...
Noteworthy changes include: replacing my incorrect use of tidyr::expand() with a more appropriate t...
General Better support for multivariate-response-models from brms. Support for cumulative-link-m...
Noteworthy changes include: finally reproducing the simulation necessary for Figure 7.3 (see GitHub...
Major improvements include: an as_draws_df()-oriented workflow to replace the depreciated posterior...
Noteworthy changes include: replacing my incorrect use of tidyr::expand() with a more appropriate t...
New functionality brnb() allows fitting negative binomial regression models using implicit and expl...
Noteworthy changes include: replacing my incorrect use of tidyr::expand() with a more appropriate t...
Added gather_pairs method for creating custom scatterplot matrices (and more!) Ordinal models in br...
This is the first full draft containing brms versions of all of Kruschke's JAGS and Stan models, exc...
Notable updates include: Chapter 23 for cumulative probit models, Chapter 24 for hierarchical Poiss...
General New vignette Different Output between Stata and ggeffects. Changes to functions ggpr...
Major improvements include: a corrected workflow for fitting single-level b-spline models (Section ...
Noteworthy changes include: the correct solution to the first multinomial model in Section 10.16;...
The notable updates are: the addition of Chapter 22 for multinomial regression, more prose and reso...
Noteworthy changes include: using the Metropolis algorithm to fit the bivariate Bernoulli model for...
Noteworthy changes include: replacing my incorrect use of tidyr::expand() with a more appropriate t...
General Better support for multivariate-response-models from brms. Support for cumulative-link-m...
Noteworthy changes include: finally reproducing the simulation necessary for Figure 7.3 (see GitHub...
Major improvements include: an as_draws_df()-oriented workflow to replace the depreciated posterior...
Noteworthy changes include: replacing my incorrect use of tidyr::expand() with a more appropriate t...
New functionality brnb() allows fitting negative binomial regression models using implicit and expl...
Noteworthy changes include: replacing my incorrect use of tidyr::expand() with a more appropriate t...
Added gather_pairs method for creating custom scatterplot matrices (and more!) Ordinal models in br...
This is the first full draft containing brms versions of all of Kruschke's JAGS and Stan models, exc...
Notable updates include: Chapter 23 for cumulative probit models, Chapter 24 for hierarchical Poiss...
General New vignette Different Output between Stata and ggeffects. Changes to functions ggpr...