Parametric Estimation and Sensitivity Analysis of Direct and Indirect Effects

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Documentation for package ‘sensmediation’ version 0.3.1

• DESCRIPTION file.
• Package NEWS.

Help Pages

calc.effects	Function for estimation of natural direct and indirect effects and sensitivity analysis for unobserved mediator-outcome confounding
coefs.sensmed	ML estimation of regression parameters for calculation of direct and indirect effects under unobserved confounding
eff.bb	Functions to calculate natural direct and indirect effects.
eff.bc	Functions to calculate natural direct and indirect effects.
eff.cb	Functions to calculate natural direct and indirect effects.
eff.cc	Functions to calculate natural direct and indirect effects.
effects	Functions to calculate natural direct and indirect effects.
grr	Analytic gradients of the loglikelihood functions for ML estimation of regression parameters
grr.bb	Analytic gradients of the loglikelihood functions for ML estimation of regression parameters
grr.bc	Analytic gradients of the loglikelihood functions for ML estimation of regression parameters
grr.cb	Analytic gradients of the loglikelihood functions for ML estimation of regression parameters
grr.cc	Analytic gradients of the loglikelihood functions for ML estimation of regression parameters
hess	Analytic Hessians of the loglikelihood functions for ML estimation of regression parameters
hess.bb	Analytic Hessians of the loglikelihood functions for ML estimation of regression parameters
hess.bc	Analytic Hessians of the loglikelihood functions for ML estimation of regression parameters
hess.cb	Analytic Hessians of the loglikelihood functions for ML estimation of regression parameters
hess.cc	Analytic Hessians of the loglikelihood functions for ML estimation of regression parameters
LogL	Implementation of loglikelihood functions for ML estimation of regression parameters
LogL.bb	Implementation of loglikelihood functions for ML estimation of regression parameters
LogL.bc	Implementation of loglikelihood functions for ML estimation of regression parameters
LogL.cb	Implementation of loglikelihood functions for ML estimation of regression parameters
LogL.cc	Implementation of loglikelihood functions for ML estimation of regression parameters
ML	Functions for ML estimation of regression parameters for sensitivity analysis
ML.bb	Functions for ML estimation of regression parameters for sensitivity analysis
ML.bc	Functions for ML estimation of regression parameters for sensitivity analysis
ML.cb	Functions for ML estimation of regression parameters for sensitivity analysis
ML.cc	Functions for ML estimation of regression parameters for sensitivity analysis
more.effects	Estimate additional natural direct and indirect effects based on an '"effectsMed"' object
partdevs	Implementations of the partial derivatives (gradients) of the expressions for the direct, indirect and total effects. Used to calculate standard errors (delta method).
partdevs.bb	Implementations of the partial derivatives (gradients) of the expressions for the direct, indirect and total effects. Used to calculate standard errors (delta method).
partdevs.bc	Implementations of the partial derivatives (gradients) of the expressions for the direct, indirect and total effects. Used to calculate standard errors (delta method).
partdevs.cb	Implementations of the partial derivatives (gradients) of the expressions for the direct, indirect and total effects. Used to calculate standard errors (delta method).
partdevs.cc	Implementations of the partial derivatives (gradients) of the expressions for the direct, indirect and total effects. Used to calculate standard errors (delta method).
plot.effectsMed	Plot function for objects of class '"effectsMed"'
print.summaryeffectsMed	Summary function for objects of class '"effectsMed"'
RSdata	Example data for the functions in sensmediation
sensmediation	Estimate natural direct and indirect effects based on parametric regression models and perform sensitivity analysis
stderr.bb	Functions to calculate standard errors of the direct, indirect and total effects using the delta method.
stderr.bc	Functions to calculate standard errors of the direct, indirect and total effects using the delta method.
stderr.cb	Functions to calculate standard errors of the direct, indirect and total effects using the delta method.
stderr.cc	Functions to calculate standard errors of the direct, indirect and total effects using the delta method.
stderrs	Functions to calculate standard errors of the direct, indirect and total effects using the delta method.
summary.effectsMed	Summary function for objects of class '"effectsMed"'