- 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.

- 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.