Changes to clinDR:
======================
Update 1.6
- Change package dependencies
- Additional documentation for CRAN release
- Modify examples for CRAN release
Update 1.05
- Fix bug in parallel processing for emaxsim and emaxsimB
- Fix bug in residSD input to customCode in emaxsimB
Update 1.04
- RandEmax can now generate random residual SD from a scaled inverted chi distribution
Update 1.03
- Added prediction interval option to plot.emaxsimobj
- Expanded output from emaxsimB when check=TRUE so
test data for custom code can be generated
Update 1.02
- Improved labeling of output of predict.fitEmax(B)
- Add descriptive label to plot.emaxsim(B) to indicate difference with placebo by default
- Corrected bug in emaxsim output of residual SD. This impacts predictive intervals from several functions.
Update 1.01
- Major update adding Bayesian versions of fitEmax and emaxsim
- Supporting methods, e.g., plot, print,... also supplied for
new Bayesian functions fitEmaxB and emaxsimB
- Parallel computing options added for the Bayesian functions
Update 0.9.6.5
- Added log scale option to plot.plotB.R, plotD.R, plot.fitEmax.R, plot.emaxsimobj.R.
If plot=plotDif (difference with placebo) and log=TRUE,
the plot starts from the lowest nonzero dose.
- Improved active control plotting in plot.plotB.R.
- Added optional user-specified control over x-axis tick marks.
Update 0.9.6.4
- In checkMonoEmax, included equality in predictive probability calculation.
- In plot.fitEmax, if there is no grouping variable, then no panel at the top
of the plot is created. The function now returns a list with the ggplot2
object and a matrix with the confidence and prediction interval limits.
Update 0.9.6.3
- Added grouped-data option to checkMonoEmax, and test data.
- Corrected plotting issue in plotB.
Update 0.9.6.2
- Updated code for fitEmax test statistics. plot.fitEmax predictive
error bars now use the smallest sample size for a dose/strata combination.
- plotB now returns the ggplot object so it can be further modified.
- fitEmax can now use non-integer prot variable.
Update 0.9.6
- Added binary logistic Emax model fitting to emaxsim and all associated
functions
- Changed check of the variance-covariance matrix in fitEmax to ensure it
is positive definite
- Eliminated femax and femaxH
- Replaced RandEmax with skewRandEmax and eliminated the name skewRandEmax
Update 0.9.5.1
- Corrected bug in predictive interval for binary data in plot.fitEmax
Update 0.9.5
- Added treatment difference option to plot.fitEmax
- Updated implementation of symbol group in plotB
- Corrected bugs in prediction intervals in plot.fitEmax
- Added treatment difference estimation to predict.fitEmax
- Updated emaxsim and its support functions to use fitemax
and its support functions
Update 0.9.4
- Added GOF tests to fitEmax output
- Fixed symbol bug in plot.fitEmax and plot.logitEmax
- Fixed fitEmax and logitEmax to return NULL when convergence fails.
- Created fitEmax to unify fitting of Emax models with continuous/binary data
Update 0.9.3
- Updated all graphic output to use ggplot2
- Changed order of Emax model parameters to better support fitting
of data from multiple protocols with different placebo response.
Order of parameters in logitEmax also changed for consistency across
all Emax functions.
- Created new function contEmax to fit continuous emax models using
ML estimation along with supporting plot and predict functions
- Added plot symbol options and residual plots to plot.contEmax and
plot.logitEmax
- Fixed bug in 4-parameter binary data case for startEmax
- Fixed bug in predictive intervals in plot.logitEmax
- Changed default confidence/posterior interval levels to 0.90
Update 0.9.2
- led50 replaces ed50 everywhere.
- Changed options for skewRandEmax
- Last version before changes to graphics.
Update 0.9.1
- Numerous changes to DoseResponse package. The biggest change was to eliminate
transformation of the Hill parameter.