R: Similarity Regression

# Similarity Regression

## Documentation for package ‘SimReg’ version 3.4

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

SimReg-package | Similarity Regression Functions
get_terms | Get full set of terms to use in inference procedure based on similarity function arguments
get_term_marginals | Calculate marginal probability of terms inclusion in 'phi' from 'sim_reg_out' object
log_BF | Calculate log Bayes factor for similarity the model, 'gamma=1' and baseline model, 'gamma=0'.
log_BF.default | Calculate log Bayes factor for similarity the model, 'gamma=1' and baseline model, 'gamma=0'.
log_BF.sim_reg_output | Calculate log Bayes factor for similarity the model, 'gamma=1' and baseline model, 'gamma=0'.
plot.sim_reg_output | Plot summary of 'sim_reg_output' object
plot.sim_reg_summary | Plot summary of 'sim_reg_output' object
plot_term_marginals | Create ontological plot of marginal probabilities of terms
posterior_prediction | Predicted probability of 'y' given 'x' conditional on association and given data.
print.sim_reg_output | Print 'sim_reg_output' object
print.sim_reg_summary | Print 'sim_reg_summary' object
prob_association | Calculate probability of association between 'y' and 'x'
SimReg | Similarity Regression Functions
sim_reg | Similarity regression
summary.sim_reg_output | Get summary of 'sim_reg_output' object
sum_log_probs | Calculate sum of log probabilities on log scale without over/under-flow
term_marginals | Calculate marginal probability of terms inclusion in 'phi'