Nothing
adjPrevSensSpecCI
(i.e. argument Sigma
allowed and passed through to bootComb
).adjPrevSensSpecCI
.adjPrevSensSpecCI
.bootComb
example as CRAN gave an error that examples take over 10s to run.bootComb
function.Sigma
).bootComb
(new input arguments distributions
, qLowVect
, qUppVect
and alphaVect
).returnBootVals
returns now also the values for the individual parameters that get combined. This change allows checking the dependence structure that was specified.bootComb
function (argument seed
).adjPrevSensSpecCI
for better behaviour in the case where the provided point estimates for the prevalence, sensitivity and specificity result in an impossible value (adjusted prevalence point estimate <0 or >1). The adjusted point estimates and boundaries of CI have now been updated to avoid impossible values and be consistent with each other (e.g. if the adjusted point estimate would be -0.000123, the lower boundary from the bootstrapping 0.000451 and the upper boundary 0.112345, then the reported point estimate and CI will be 0 [0,0.112345]).identifyBetaPars
, identifyNormPars
, identifyPoisPars
, identifyNegBinPars
, identifyGammaPars
, identifyExpPars
whereby the alpha
parameter did not get passed through.With the inclusion of additional distributions functions that are supported, this is considered to be the first mature version of the package. Some changes for consistency of coding and better function naming are also minimally not backward compatible, hence the upgrade to version number 1.0.0.
hdi
to quantile
as the latter will always be correct and the former may be wrong if the bootstrap sample of combined parameter values is severely multimodal.HDInterval
turned into a "Suggests" rather than an "Imports" dependency with bootComb
falling back on method='quantile'
if HDInterval
is not available.First version accepted & published on CRAN.
identifyBetaPars
identifyBetaPars
is no longer an exported function; strictly internalgetBetaFromCI
, a function that returns beta distribution functions from a given confidence interval (and in particular a random sampling function)First version to be submitted to CRAN (but rejected).
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