Similarity Regression

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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'