Package index • extras

Manipulate Objects

Functions to numericise and fill objects

numericise() numericize(): Numericise (or Numericize)

fill_na(): Fill Missing Values

fill_all(): Fill All Values

Summary Functions

Functions to summarise MCMC vectors as scalars

lower(): Lower Credible Limit

upper(): Upper Credible Limit

zscore(): Z-Score

pvalue(): Bayesian P-Value

svalue(): Surprisal Value

xtr_mean(): Mean

xtr_median(): Median

xtr_sd(): Standard Deviation

variance(): Variance

skewness(): Skewness

kurtosis(): Kurtosis

zeros(): Zeros

pzeros(): Proportion of Zeros

Conversion Functions

Conversion functions

fabs(): Absolute

exp2(): Exponential Transformation of Base 2

exp10(): Exponential Transformation of Base 10

ilog(): Inverse Log Transformation

ilog2(): Inverse Log Base 2 Transformation

ilog10(): Inverse Log Base 10 Transformation

ilogit(): Inverse Logistic Transformation

invlogit(): Inverse Logistic Transformation

inv_odds(): Inverse Odds

`log2<-`(): Log Base 2 Transformation

`log10<-`(): Log Base 10 Transformation

logit(): Logistic Transformation

odds(): Odds

phi(): Phi

pow(): Power

Odds Functions

Odds functions

inv_odds(): Inverse Odds

log_odds(): Log Odds

`log_odds<-`(): Inverse Log Odds Transformation

log_odds_ratio(): Log-Odds Ratio

log_odds_ratio2(): Log Odds Ratio2

odds(): Odds

`odds<-`(): Inverse Odds Transformation

odds_ratio(): Odds Ratio

odds_ratio2(): Odds Ratio2

Proportional Functions

Proportional functions

proportional_change(): Proportional Change

proportional_change2(): Proportional Change2

proportional_difference(): Proportional Difference

proportional_difference2(): Proportional Difference2

Translations

Translations of BUGS/JAGS functions

fabs(): Absolute

ilog(): Inverse Log Transformation

ilogit(): Inverse Logistic Transformation

invlogit(): Inverse Logistic Transformation

inv_logit(): Inverse Logistic Transformation

`log<-`(): Log Transformation

logit(): Logistic Transformation

`logit<-`(): Logistic Transformation

phi(): Phi

pow(): Power

step(): Step

Checks and Validation

Functions to check argument values

chk_pars() vld_pars(): Check Parameter Names

chk_index() vld_index(): Check Index

chk_indices() vld_indices(): Check Indices

Deviance

Deviances and Deviance Residuals

dev_bern(): Bernoulli Deviances

dev_beta_binom(): Beta-Binomial Deviances

dev_binom(): Binomial Deviances

dev_gamma(): Gamma Deviances

dev_gamma_pois(): Gamma-Poisson Deviances

dev_gamma_pois_zi(): Zero-Inflated Gamma-Poisson Deviances

dev_lnorm(): Log-Normal Deviances

dev_neg_binom(): Negative Binomial Deviances

dev_norm(): Normal Deviances

dev_pois(): Poisson Deviances

dev_pois_zi(): Zero-Inflated Poisson Deviances

dev_skewnorm(): Skew Normal Deviances

dev_student(): Student's t Deviances

Residual

Raw and Deviance Residuals

res_bern(): Bernoulli Residuals

res_beta_binom(): Beta-Binomial Residuals

res_binom(): Binomial Residuals

res_gamma(): Gamma Residuals

res_gamma_pois(): Gamma-Poisson Residuals

res_gamma_pois_zi(): Zero-Inflated Gamma-Poisson Residuals

res_lnorm(): Log-Normal Residuals

res_neg_binom(): Negative Binomial Residuals

res_norm(): Normal Residuals

res_pois(): Poisson Residuals

res_pois_zi(): Zero-Inflated Poisson Residuals

res_skewnorm(): Skew Normal Residuals

res_student(): Student's t Residuals

Log-Likelihood

Log-likelihood functions

log_lik_bern(): Bernoulli Log-Likelihood

log_lik_beta_binom(): Beta-Binomial Log-Likelihood

log_lik_binom(): Binomial Log-Likelihood

log_lik_gamma(): Gamma Log-Likelihood

log_lik_gamma_pois(): Gamma-Poisson Log-Likelihood

log_lik_gamma_pois_zi(): Zero-Inflated Gamma-Poisson Log-Likelihood

log_lik_lnorm(): Log-Normal Log-Likelihood

log_lik_neg_binom(): Negative Binomial Log-Likelihood

log_lik_norm(): Normal Log-Likelihood

log_lik_pois(): Poisson Log-Likelihood

log_lik_pois_zi(): Zero-Inflated Poisson Log-Likelihood

log_lik_skewnorm(): Skew Normal Log-Likelihood

log_lik_student(): Student's t Log-Likelihood

Random

Random sample functions

ran_bern(): Bernoulli Random Samples

ran_beta_binom(): Beta-Binomial Random Samples

ran_binom(): Binomial Random Samples

ran_gamma(): Gamma Random Samples

ran_gamma_pois(): Gamma-Poisson Random Samples

ran_gamma_pois_zi(): Zero-Inflated Gamma-Poisson Random Samples

ran_lnorm(): Log-Normal Random Samples

ran_neg_binom(): Negative Binomial Random Samples

ran_norm(): Normal Random Samples

ran_pois(): Poisson Random Samples

ran_pois_zi(): Zero-Inflated Poisson Random Samples

ran_skewnorm(): Skew Normal Random Samples

ran_student(): Student's t Random Samples

Sensitivity

Sensitivity functions

sens_beta(): Adjust Beta Distribution Parameters for Sensitivity Analyses

sens_exp(): Adjust Exponential Distribution Parameters for Sensitivity Analyses

sens_gamma(): Adjust Gamma Distribution Parameters for Sensitivity Analyses

sens_gamma_pois(): Adjust Gamma-Poisson Distribution Parameters for Sensitivity Analyses

sens_gamma_pois_zi(): Adjust Zero-Inflated Gamma-Poisson Distribution Parameters for Sensitivity Analyses

sens_lnorm(): Adjust Log-Normal Distribution Parameters for Sensitivity Analysis

sens_neg_binom(): Adjust Negative Binomial Distribution Parameters for Sensitivity Analyses

sens_norm(): Adjust Normal Distribution Parameters for Sensitivity Analyses

sens_pois(): Adjust Poisson Distribution Parameters for Sensitivity Analyses

sens_skewnorm(): Adjust Skew Normal Distribution Parameters for Sensitivity Analyses

sens_student(): Adjust Student's t Distribution Parameters for Sensitivity Analyses

Bernoulli

Bernoulli distribution functions

dbern() pbern() qbern() rbern(): Bernoulli Distribution

Skew Normal

Skew Normal distribution functions

dskewnorm() pskewnorm() qskewnorm() rskewnorm(): Skew-Normal Distribution

Miscellaneous

Miscellaneous functions

par_pattern(): Parameter Pattern

Generics

Generic Functions

as_list(): As List

Deprecated

Deprecated functions

pextreme() deprecated: Extreme Probability

sextreme() deprecated: Extreme Surprisal

as_list_unnamed(): As List