Corrected code that produced warning

`length > 1 in coercion to logical`

Update functions that use deprecated functions from

`dplyr`

package

No longer export the following functions:

`CalcGroupPIPs`

,`CalcWithinGroupPIPs`

, and`CalcPIPs`

as these should typically be calculated using the function`ExtractPIPs`

`ComputePostmeanHnew.approx`

and`ComputePostmeanHnew.exact`

as these should typically be calculated using the function`ComputePostmeanHnew`

`set_verbose_opts`

as this is only called internally

Expanded function documentation by adding example code

allowable values for starting parameter for

`r[m]`

parameters updated as followsno longer truncated to a single value (when

`varsel = FALSE`

and`rmethod = "varying"`

)can be equal to 0 (when

`varsel = TRUE`

)

Error no longer generated if starting values for h.hat are not positive

When checking class of an object, use

`inherits()`

instead of`class()`

Added ability to have binomial outcome

`family`

by implementing probit regression within`kmbayes()`

Removed computation of the subject-specific effects

`h[i]`

within`kmbayes()`

, as this is not always desired, and greatly slows down model fittingThis could still be done by setting the option

`est.h = TRUE`

in the`kmbayes`

functionposterior samples of

`h[i]`

can now be obtained via the post-processing`SamplePred`

function; alternatively, posterior summaries (mean, variance) can be obtained via the post-processing`ComputePostmeanHnew`

function

Added ability to use exact estimates of the posterior mean and variance by specifying the argument

`method = 'exact'`

within the post-processing functions (e.g.,`OverallRiskSummaries()`

,`PredictorResponseUnivar()`

)

- Fixed
`PredictorResponseBivarLevels()`

when argument`both_pairs = TRUE`

(#4)