sensmediation 0.3.1

• Added reference to Lindmark (2022).
• Added a clarification on the types of exposure variables allowed to the help-file of sensmediation.
• Added missing package anchors for Rd targets.

sensmediation 0.3.0

• Fixed a bug in the calc.effects function that could affect the estimated direct and indirect effects with moderation on more than one covariate if the exposure-covariate, mediator-covariate, exposure-mediator-covariate interaction terms were not in the same order as the main effects of the covariates
• Fixed an error in the log-likelihoods for cases with probit model.expl and continuous model.resp as well as cases with probit model.resp and continuous model.expl which gave results for -rho instead of rho and vice versa.
• Corrected warning messages for omitted exp.name and med.name arguments in sensmediation
• Estimated outcome and mediator model parameters separated into different categories depending on effect type are now stored in effectsMed objects
• The partial derivatives of the NDE, NIE and TE wrt the mediator and outcome model parameters for each value of Rho are now stored in effectsMed objects
• A list with the joint covariance matrix of the outcome and mediator model parameters for each value of Rho is now stored in effectsMed objects
• A data set consisting of a subsample from Riksstroke, the Swedish Stroke Register, is now provided and used to exemplify the package functions.
• The covariate names in the list of the covariates argument now can (need to) be given as coded in the original data rather than the way they are recoded in the glm output.
• A note is printed if one or more covariates in covariates are not found in the mediator and outcome models and therefore not conditioned on. Variables not conditioned on are not printed in the output from summary.effectsMed.

sensmediation 0.2.0

• Optimization function changed from optimx to maxLik
• Analytic Hessians of the log-likelihoods have been implemented
• Default optimization method changed from BFGS to Newton Raphson
• Arguments allowed to be passed to the maximization function (method and control)
• The sensmediation argument covariance has been deprecated
• The sensmediation arguments out.full, med.full and all.interactions have been deprecated
• New sensmediation arguments: exp.name and med.name
• Errors in the analytic gradients of the cases with probit model.expl and continuous model.resp as well as cases with probit model.resp and continuous model.expl have been fixed.