Function reference • gibbs.utils

All functions
`mvqt_binom_approx()` `mvqt_pois_approx()`	Helper functions for approximations
`B1()` `B2()` `B4()` `bss()`	Calculate Bayesian Smoothing Spline (BSS) for Integers
`cond_mvnorm()`	Draw Conditional Samples
`conj_norm_mu()` `conj_mvnorm_mu()` `conj_matnorm_mu()` `conj_lm_beta()` `conj_matlm_beta()` `conj_norm_tau()` `conj_mvnorm_Q()` `conj_matnorm_V()` `conj_lm_tau()` `conj_binom_p()` `conj_gamma_b()`	Draw Conjugate Samples
`dmvnorm()` `dmvlnorm()` `dmvnorm_diff()` `dmvlnorm_diff()` `dnorm_diff()` `dlnorm_diff()` `dmatnorm()` `dmatnorm_diff()` `dlogitnorm()` `rdirich()` `rdlnorm()` `ddlnorm()` `pdlnorm()` `rtruncexp()` `dtruncexp()` `ptruncexp()` `qtruncexp()`	Statistical Distributions
`gs_matlm_beta()`	Draw Gibbs Samples
`impute_conj_mvnorm_mu()`	Impute Conjugate Values
`sample_binom_reg()`	Sample a binomial regression rate
`sample_multinom_reg()`	Sample a multinomial regression rate
`sample_pois_reg()`	Sample a Poisson regression rate
`gu_chol()` `is.gu_chol()` `chol(<gu_chol>)` `chol_inv()` `logit()` `expit()`	Other Utilities

Reference