xfim / ggmcmc

Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference
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ggs_caterpillar ignores thick_ci and thin_ci arguments #50

Closed jonathan-g closed 8 years ago

jonathan-g commented 8 years ago

Calling ggs_caterpillar with values for thick_ci and thin_ci doesn't change the plot.

When I call ggs_caterpillar(D) and ggs_caterpillar(D, thick_ci = c(0.4,0.6), I get identical plots. Using ggmcmc_0.7.3 from CRAN.

I get the same result when I install the github verson with devtools::install_github('xfim/ggmcmc')

xfim commented 8 years ago

Thank you, @jonathan-g, for reporting the bug. It is an embarrassing one. It has been solved in commit 7ce00f0. The development version should be fine right now.