tests/testdata-raw/brms-logit.R
In ShanaScogin/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")
ShanaScogin/BayesPostEst documentation built on May 20, 2022, 6:36 p.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")
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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