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## NEWS to package MKinfer
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## Version 0.6
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- removed an unnecessary print in function binomDiffCI
- use lgamma instead of gamma to compute variance of SD (inside normCI)
- modified imputeSD such that correlations < -1 or > 1, which may occur, are 
  not used for the imputations, but are set to -1 or 1, respectively.

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## Version 0.5
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- corrected bug in wilson method in binomDiffCI (alpha was not passed through)
  detected by Takuya Yanagida.
- attribute conf.level was not set in meanCI and sdCI.

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## Version 0.4
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- changed return value of imputeSD
- added volcano plot

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## Version 0.3
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- corrected minor bug for wald-cc in binomCI and binomDiffCI
- corrected minor bug in case of bootstrap confidence intervals (conf.level 
  was not passed through)
- introduced one-sided confidence intervals in all *CI functions
- added references to description and vignette
- added function rm.oneway.test to compute parametric and non-parametric
  one-way ANOVA with repeated measures
  

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## Version 0.2
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- Added new function binomDiffCI for computing confidence intervals for
  the difference of two binomial proportions.
- Changed import form MKmisc to MKdescr
- Moved function pairwise.fun from MKmisc/MKdescr to MKinfer
- Added bootstrap intervals to functions binomCI and binomDiffCI
- Added bootstrap intervals to function normCI
- Added functions meanCI and sdCI calling function normCI
- Added bootstrap intervals to function normDiffCI
- Added function meanDiffCI calling function normDiffCI
- Added bootstrap intervals to quantileCI, medianCI and madCI
- Added bootstrap interval to cvCI
- Added function boot.t.test to compute bootstrap t-tests
- Added function perm.t.test to compute permutation t-tests


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## Version 0.1
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- Start of development
- Copied functions binomCI, cvCI, hsu.t.test, imputeSD,
  madCI, medianCI, mi.t.test, normCI, normDiffCI, 
  quantileCI from package MKmisc
