Package index • postlink

All functions

LD1000: Linked Dataset (n = 1000) for a Simple Illustration
adjELE(): Secondary Analysis Constructor Assuming ELE
adjMixBayes(): Secondary Analysis Constructor Based on Bayesian Mixture Modeling
adjMixture(): Secondary Analysis Constructor Based on Mixture Modeling
brfss: Behavioral Risk Factor Surveillance System (BRFSS) 2013 Subsample
coef(<glmELE>): Extract Coefficients for glmELE
coef(<glmMixBayes>): Extract Coefficients for glmMixBayes
coef(<glmMixture>): Extract Coefficients for glmMixture
coef(<survMixBayes>): Extract Coefficients for survMixBayes
confint(<coxphELE>): Confidence Intervals for coxphELE Objects
confint(<coxphMixture>): Confidence Intervals for coxphMixture Objects
confint(<ctableMixture>): Confidence Intervals for Adjusted Cell Probabilities
confint(<glmELE>): Confidence Intervals for glmELE Objects
confint(<glmMixBayes>): Credible Intervals for Regression Coefficients from a glmMixBayes Fit
confint(<glmMixture>): Confidence Intervals for glmMixture Objects
confint(<survMixBayes>): Credible Intervals for Parameters from a survMixBayes Fit
coxphELE(): Fit a CoxPH Model Assuming Exchangeable Linkage Errors
coxphMixture(): CoxPH with Mixture-Based Linkage Error Adjustment
ctableMixture(): Contingency Table Analysis with Mixture-Based Adjustment
df.residual(<plglm>): Extract Residual Degrees of Freedom for plglm Models
glmELE(): GLM with ELE-Based Linkage Error Adjustment
glmMixBayes(): Bayesian Two-Component Mixture Generalized Linear Model
glmMixture(): GLM with Mixture-Based Linkage Error Adjustment
lifem: Longitudinal Intergenerational Family Electronic Micro-Database
mi_with(): Pool Parameter Estimates Across Posterior Draws
mi_with(<glmMixBayes>): Pooling Regression Fits Across Posterior Draws of Correct-Match Classifications
mi_with(<survMixBayes>): Pool Regression Fits Across Posterior Draws of Correct-Match Classifications
plcoxph(): Fit Cox Proportional Hazards Models with Linkage Error Adjustment
plctable(): Analysis of Contingency Tables with Linkage Error Adjustment
plglm(): Fit Generalized Linear Models with Linkage Error Adjustment
plsurvreg(): Fit Parametric Survival Models with Linkage Error Adjustment
postlink postlink-package: postlink: Post-Linkage Data Analysis Under Record Linkage Errors
predict(<coxphELE>): Predictions from a coxphELE Object
predict(<coxphMixture>): Model Predictions for coxphMixture Objects
predict(<glmELE>): Predictions for glmELE Objects
predict(<glmMixBayes>): Predictions from a glmMixBayes Model
predict(<glmMixture>): Model Predictions for glmMixture Objects
predict(<survMixBayes>): Predictions from a survMixBayes Model
print(<adjELE>): Print Method for adjELE Objects
print(<adjMixBayes>): Print Method for adjMixBayes Objects
print(<adjMixture>): Print Method for adjMixture Objects
print(<adjustment>): Print Base Method for Adjustment Objects
print(<coxphELE>): Print a coxphELE Object
print(<coxphMixture>): Print a coxphMixture Object
print(<ctableMixture>): Print Method for Adjusted Contingency Tables
print(<glmELE>): Print a glmELE Object
print(<glmMixBayes>): Print a glmMixBayes Model Object
print(<glmMixture>): Print a glmMixture Object
print(<mi_link_pool_glm>): Print Pooled Regression Results
print(<mi_link_pool_survreg>): Print Pooled Cox Regression Results
print(<survMixBayes>): Print a survMixBayes Model Object
summary(<coxphELE>): Summary of a coxphELE Object
summary(<coxphMixture>): Summarizing Cox PH Mixture Fits
summary(<ctableMixture>): Summary Method for Adjusted Contingency Tables
summary(<glmELE>): Summarize a glmELE Object
summary(<glmMixBayes>): Summary Method for glmMixBayes Models
summary(<glmMixture>): Summarizing GLM Mixture Fits
summary(<survMixBayes>): Summary Method for survMixBayes Models
survregMixBayes(): Bayesian Two-Component Mixture Survival Regression Model
logLik(<plmodel>) profile(<plmodel>) anova(<plmodel>) extractAIC(<plmodel>) cooks.distance(<plglm>) rstudent(<plglm>): Unsupported Generics for postlink Models
vcov(<coxphELE>): Variance-Covariance Matrix for coxphELE Objects
vcov(<coxphMixture>): Extract Variance-Covariance Matrix from a coxphMixture Object
vcov(<ctableMixture>): Extract Variance-Covariance Matrix from ctableMixture Objects
vcov(<glmELE>): Extract Variance-Covariance Matrix from a glmELE Object
vcov(<glmMixBayes>): Posterior Covariance Matrix for glmMixBayes Coefficients
vcov(<glmMixture>): Extract Variance-Covariance Matrix from a glmMixture Object
vcov(<survMixBayes>): Posterior Covariance Matrix for survMixBayes Coefficients