Package index • Zresidual

All functions

CV.Zresidual(): Cross-validated Z-residual diagnostics (generic)
CV.Zresidual(<coxph>): Cross-validated Z-residuals for Cox proportional hazards models
CV.Zresidual(<survreg>): Cross-validated Z-residuals for parametric survival regression models
Zresidual(): Compute Z-residuals via an S3 generic
Zresidual(<bernoulli.brms>): Z-residuals for Bernoulli models fitted with brms
Zresidual(<coxph.survival>): Z-residuals for Cox proportional hazards models (survival package)
Zresidual(<hurdle_negbinomial.brms>): Z-residuals for hurdle negative binomial models fitted with brms
Zresidual(<hurdle_poisson.brms>): Z-residuals for hurdle Poisson models fitted with brms
Zresidual(<negbinomial.brms>): Z-residuals for negative binomial models fitted with brms
Zresidual(<poisson.brms>): Z-residuals for Poisson models fitted with brms
Zresidual(<survreg.survival>): Z-residuals for parametric survival regression models (survival)
aov.test.zresid(): A function to calculate ANOVA of Zresidual
bartlett.test(<zresid>): A function to calculate Bartlett of Zresidual
boxplot(<zresid>): Boxplot of Z-Residuals
cdf.tnb(): Cumulative Distribution Function (CDF) of Zero-Truncated Negative Binomial Distribution
cdf.tp(): Cumulative Distribution Function (CDF) of Zero-Truncated Poisson Distribution
dhurdle.nb(): Probability Mass Function of the Hurdle Negative Binomial Distribution
dhurdle.pois(): Probability Mass Function of the Hurdle Poisson Distribution
gof.censored.zresidual(): Goodness-of-fit test for censored Z-residuals
iscv_logrpp(): Compute Log Randomized Predictive p-values using ISCV Method
log_diff_exp(): A function to compute the logarithm of the difference between the exponentials of two log values.
log_pred_dist_HNB(): Compute Log Predictive Distributions for a Hurdle Negative Binomial Model of a 'brms' Fit
log_pred_dist_HP(): Compute Log Predictive Distributions for a Hurdle Poisson Model of a 'brms' Fit
log_pred_dist_NB(): Compute Log Predictive Distributions for a Negative Binomial Model of a 'brms' Fit
log_pred_dist_TNB(): Compute Log Predictive Distributions for a Truncated Negative Binomial Model of a 'brms' Fit
log_pred_dist_TP(): Compute Log Predictive Distributions for a Truncated Poisson Model of a 'brms' Fit
log_pred_dist_bern(): Compute Log Predictive Distributions for Logistic Regression of a 'brms' Fit
log_pred_dist_pois(): Compute Log Predictive Distributions for a Poisson Model of a 'brms' Fit
log_pred_dist_zero(): A function to calculate log predictive distribution (pmf and cdf) of logistic component of a 'brm' fit
pdf.tnb(): Probability Mass Function of the Zero-Truncated Negative Binomial Distribution
pdf.tp(): Probability Mass Function of the Zero-Truncated Poisson Distribution
phurdle.nb(): Cumulative Distribution Function of the Hurdle Negative Binomial Distribution
phurdle.pois(): Cumulative Distribution Function of the Hurdle Poisson Distribution
plot(<cs.residual>): Cox–Snell residual plot for survival models
plot(<dev.resid>): Plot deviance residuals for survival models
plot(<martg.resid>): Plot martingale residuals for survival models
plot(<zresid>): Plot Z-Residuals for Bayesian and Frequentist Count / Hurdle / Zero / Survival Models
post_logmpp(): Compute Posterior Log Middle-value Predictive p-values (Log-MPP)
post_logrpp(): Compute Posterior Log Randomized Predictive p-values (Log-RPP)
posterior.pred(): Extract Posterior Predicted Parameters from a Hurdle or Count Model
pvalue.min(): A function to calculate the min p-value
qqnorm(<zresid>): Normal Q-Q Plot for Z-Residuals with Outlier Detection and Normality Diagnostics
sf.test.zresid(): A function to calculate Shapiro-Francia test of Zresidual
surv_residuals(): Residuals for supported survival models
sw.test.zresid(): Shapiro-Wilk Normality Test for Z-Residuals
test.var.bartl(): Bartlett Test for Homogeneity of Variances of Z-Residual