- 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.
- 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.