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tests/testdata-raw/brms-logit.R
In BayesPostEst: Generate Postestimation Quantities for Bayesian MCMC Estimation
#
# Generate an example brms logit model for testing
#
library("brms")
data("sim_data")
brms_logit <- brm(Y ~ X1 + X2, data = sim_data, family = bernoulli("logit"),
chains = 2, iter = 2000, warmup = 1000)
saveRDS(brms_logit, "tests/testdata/brms-logit.rds")
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BayesPostEst documentation built on Nov. 11, 2021, 9:07 a.m.
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#
# Generate an example brms logit model for testing
#
library("brms")
data("sim_data")
brms_logit <- brm(Y ~ X1 + X2, data = sim_data, family = bernoulli("logit"),
chains = 2, iter = 2000, warmup = 1000)
saveRDS(brms_logit, "tests/testdata/brms-logit.rds")
Try the BayesPostEst package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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