Version 1.2-01
Released 2014-09-30
- Some minor bugs removed and spelling in man pages corrected
- print method for class pwrA now calls plot()
- power analysis in case of n=12 for the plan now drops n below 12 subjects
Version 1.2-00
Build 2014-09-19, released to alpha/beta testers only
- Contains now functions for power analysis of a sample size plan
for ABE (pa.ABE()), scaled ABE (pa.sABE()) and scaled ABE for NTID's
(pa.NTIDFDA()) analyzing power for deviations from assumptions for
the sample size estimation
- Contains further experimental functions for power calculations / samplesize
estimation for dose proportionality studies using the Power model
Version 1.1-13
Released 2014-08-12
- Design constant bk(ni) for design="paired" corrected.
THX to Helmut Schuetz which detected that bug.
Version 1.1-12
Released 2014-07-02
- Some minor improvements in documentation.
- Function power.TOST() now throws a warning if used with imbalanced
designs (n not an even multiple of no. of sequences)
- Internal change of start value of sample size search in sampleN.TOST()
to avoid failed searches if variability is high and theta0 is near 1
Version 1.1-11
Released 2014-04-30
- Utility function added which calculates 1-2*alpha confidence interval(s)
given point est., CV and n using log-tansformed evaluation.
- Utility function added which calculates 1-2*alpha Fieller confidence
interval(s) given point est., CV (, CVb) and n for the ratio of
un-transformed means.
Version 1.1-10
Released 2014-01-31
- The package is now pre-compiled to 'byte code' via the compiler
package for speed reasons. F.i. OwensQOwen() gains a sixfold boost.
- Some bulk code changes to make the power calculations for extrem
cases more bullet proof without computation time burden.
- Bug removed where noncentrality parameters in the power calculations
became NaN (not a number).
- OwensQ() now tries to return a value via nct-approximation if its value
is due to numeric difficulties falsely equal zero.
This approximation is up to 6 decimals correct as far as tested.
OwensQ() issues a warning if the nct-approximation is used.
- Some improvements in documentation (man pages and *.pdf) to
reflect the code changes
Version 1.1-09
Build 2014-01-03 Not released to the public.
- OwensQ() now uses OwensQOwen() in case of high delta and/or high upper
integration limit. Thus extrem cases can be handled properly where
the former implementation via integrate() was prone to fail.
Thanks to Jiri Hofmann and Helmut Schuetz for pointing me to
such extrem cases.
Version 1.1-08
Released 2013-12-27
- Dates typo in the history (NEWS) corrected from PowerTOST 1.1-00 on.
THX to Julien Grassot.
- CVfromCI() now accepts either both CLs or one CL and the point
estimator, programmed by Helmut Schuetz.
- power.RatioF() and sampleN.RatioF() now have an argument setseed=TRUE
which avoids the dependence if the power from the state of the
random number generator (due to the calculation method of pmvt()
from package mvtnorm). Thanks to Benjamin Lang.
Version 1.1-07
Released 2013-09-02
- design 2x2x3 (TRT|RTR) implemented in power.scABEL(), sampleN.scABEL()
and in power.RSABE(), sampleN.RSABE().
- power.scABEL() now gives a warning if CVwT not equal CVwR in the design
2x3x3, partial replicate.
- Simulation details for the full replicate design slightly changed
to obtain better numeric agreement of power to subject data sims.
Version 1.1-06
Released 2013-06-21
- Fat bug corrected in sampleN.NTIDFDA() which lead to false sample size
for cases where the test of equal variabilities of Test vs. Reference
comes into effect.
Version 1.1-05
Released 2013-06-17
- The functions sampleN.scABEL(), sampleN.RSABE() and sampleN.NTIDFDA()
return now a data.frame with the input and the sample size result.
The "Sample size" column contains the total sample size.
The "nlast" column contains the last n value handled. May be useful for
restarting.
- Start values for sample size search in functions sampleN.scABEL(),
sampleN.RSABE() reworked.
Failed sample size searches are now more seldom observed.
- Flaw in sample size search removed which does not indicate a failed
search (n=NA) if started with a too high n (Thanks to Helmut Schütz).
Version 1.1-04
Released 2013-05-15 to alpha testers only
- Functions power.NTIDFDA() and sampleN.NTIDFDA() introduced to calculate
power and sample size for the BE decision via the method of the FDA for
narrow therapeutic index drugs (NTID's). Power and sample size
are based on simulations.
Version 1.1-03
Released 2013-05-03
- Flaw in implementing the sims of 2x3x3 design with different intra-subject
variabilities in functions power.RSABE() and sampleN.RSABE() as well as
in functions power.scABEL() and sampleN.scABEL() disposed.
- Methods and implementation details of the simulations for scaled ABE
documented in a PDF file in the /doc subdirectory of the package.
- Simulation method for the EMA scaled ABEL changed to conform better
with power values from simulations via subject data.
- Warning section in the help file of power.scABEL() introduced to
appoint the fact that simulations via subject data and via the
methods implemented in power.scABEL() gave empirical power values
that are only approximately in agreement.
Version 1.1-02
Released 2013-02-28
- Functions power.RSABE() and sampleN.RSABE() introduced to calculate
power and sample size for the BE decision via linearized scaled
ABE criterion as favored method of the FDA. Power and sample size
are based on simulations.
- Default of nsims changed to 1E5 (suggested by Helmut Schuetz).
- Argument setseed introduced in the scaled ABE functions to avoid
different outcomes depending on the state of the (pseudo) random
number generator. If setseed=TRUE a set.seed(123456) is issued before
each call of the simulation functions.
- Documentation improved.
Version 1.1-00
Released 2013-02-08
- Functions power.scABEL() and sampleN.scABEL() introduced to calculate
power and sample size for the BE decision via scaled (widened)
BE acceptance limits based on simulations.
Thanks to Helmut Schuetz for power testing these functions.
http://forum.bebac.at/mix_entry.php?id=9997
- False News file included. Sorry for that.
Version 1.0-01
not released, integrated in 1.1-00
- Upper one-sided CL of the CV and therefore argument alpha2 removed from
expsampleN.noninf() and expsampleN.TOST() because it lead to some
confusion in users thinking this had to do with the algorithm via
expected power.
- CI2CV() as alias to CVfromCI() introduced because my self always typed
this name if aimed to calculate the CV from a given CI.
- Function CVCL() now returns a 2 element vector also if an one sided
interval is requested.
Version 1.0-00
Released 2012-10-26
- Bugfix in power.noninf() to get the correct power if theta0 is below
margin (if margin <1) or theta0 is above margin (if margin >1).
power.noninf() calculated up to now the power of an inferiority test.
Thanks to Helmut Schuetz.
- New helper functions CV2mse() and mse2CV.
- New function CVCI() to calculate a confidence interval of a CV.
Version 0.9-11
Released 2012-08-07
- Bug fix in power.TOST(), power2.TOST() and power.noninf() to use the
right df depending on argument robust. robust=FALSE had used the
robust df's. Thanks to Ben.
Version 0.9-10
Released 2012-07-20
- Bug-fix in internal function .Q.integrand()
- Bug fix in nmin - must be a multiple of steps to assure balance
in sequence groups.
Again thanks to Helmut Schuetz for detecting both.
Version 0.9-9
Released 2012-07-18
- Workaround introduced to handle numeric problems in integrate()
if CV<5.3E-6. Thanks to Helmut Schuetz.
- Minimum sample size adapted to design used (f.i. n=2 if design="paired")
Version 0.9-8
Released 2012-04-05 (Easter egg)
- Functions added for 'expected' power and sample size calculations based
on it for the non-inferiority test for sake of completeness.
- Functions CVpooled(), exppower.TOST() and expsampleN.TOST() now
also implemented for logscale=FALSE, i.e. contain that argument in
their calls.
- Function OwensQOwen() made public. This is an implementation of the
algorithm given by Owen itself in the original paper (Biometrica 1965)
via repeated integration by parts.
This function is only for comparative purposes.
- Function OwensT() made public. It is needed internal in OwensQOwen()
but may be useful for other purposes.
Version 0.9-6/7
Released 2012-03-26
- PowerTOST 0.9-7 is a small bug fix PowerTOST required from CRAN.
Contains the old PowerTOST number 0.9-6 in the package man page.
- Functions added for power and sample size calculations based on
non-inferiority t-test. This is not a TOST procedure but eventually
useful if the question of 'non-superiority' within a BE study must be
evaluated.
Hint: Evaluation of Fluctuation in the EMA MR NfG (1999) between
modified release formulation and immediate release product.
Version 0.9-4
Released 2012-03-05
- Little bug in sampleN.TOST removed which causes extra doubled output
of n and power if n=4. Thanks to Ben:
http://forum.bebac.at/mix_entry.php?id=8206
Version 0.9-3
Released 2012-02-13
- Bug in power.TOST removed which prevented calculation of Power
according to method ^= "exact".
- Sample size tables for replicate design 2x2x3 in data sub-directory added.
- Sample size tables for replicate design 2x4x4 in data sub-directory added.
- Scripts in the /test sub-directory made available.
Version 0.9-2
released 2011-12-24
- Function power2.TOST() added to allow power calculations for
studies with unbalanced (sequence) groups.
- Argument exact replaced by method in power.TOST(), sampleN.TOST().
See help for these functions.
- Attention! The sample size for the parallel group design is now
the TOTAL sample size (to be consistent across all functions).
- Sample size tables added for the 2x2 crossover and for the parallel
group design to alleviate validation/qualification of the package.
See data(package="PowerTOST").
- Scripts added in the \tests sub-directory that create the sample size
tables from the data section.
- Updated BE_power_sample_size_excerpt.pdf in the doc sub-directory.
Version 0.9-0
released 2011-12-15
- Paired means design introduced
- 'robust' argument added to nearly all functions.
With robust=TRUE the degrees of freedom for the so-called robust
evaluation (df2 in known.designs() output) will be used.
This may be helpful if planning is done for higher order designs
evaluated via mixed model or via intra-subject contrasts
(aka Senn's basic estimator).
- Due to the necessary NAMESPACE from R14.0 on the internal functions
(names starting with .) are no longer exported.
Version 0.8-7
released 2011-10-20
- Problem with slash in \name field of manual resolved
(requested by B. Ripley)
Version 0.8-6
released 2011-05-18
- Bug removed which gave incorrect exact power values in case of
alpha>=0.5 (very unusual setting). Thanks again to Craig Zupke.
Cross checked results of power at equivalence margins against
SAS Proc Power.
Version 0.8-5
released 2011-05-16
- Code in Owen's Q adapted to account for large delta or large b
leading to integrand function almost zero over the whole range
which then gave an error in integrate(). Thanks to Craig Zupke.
Version 0.8-4
released 2011-03-11
- Number of maximal steps in sample size search in the sample size
functions, formerly hard coded as 50, made accessible to users via
argument imax. but needs only adapted in rare extremal cases.
- Start value for sample size search improved around theta0=1 (logscale)
or theta0=0 (untransformed).
Version 0.8-3
released 2011-01-18
- Bug fix in known.designs().
Version 0.8-2
===============
released 2011-01-10
- error in df for 3x3 and 4x4 crossover removed
- function for pooling CV's from different studies made public
see ?CVpooled
Version 0.8-1
released 2010-11-25
- helper function CVfromCI() added to estimate the CV from a confidence
interval. Useful if no CV but CI was given in literature.
Version 0.7-3
released 2010-10-09
- bugs in documentation removed
- input argument diff removed from sampleN.TOST, expsampleN.TOST,
power.TOST and exppower.TOST
Version 0.7-2
released 2010-08-27
- little bug causing warnings in case of 2x2 alias 2x2x2 removed
Version 0.7-1
released 2010-08-12
- functions added for the power and sample size for the ratio of
two means with normally distributed data on the original scale
(based on Fieller's confidence (fiducial) interval).
AFAIK until now only implemented in the commercial nQuery.
- Note that the parameter diff (Null ratio / Null diff.) is now
named theta0 since it was annoying for users to call it diff in case
of ratios (logscale=TRUE). The parameter diff is still supported
but will be ceased in the next release. Therefore a warning is issued
if diff is used.
Version 0.6-2
released 2010-07-21
- some internal code consolidation
- internal hidden functions .CV2se() and .se2CV() made public
- minor enhancements in help pages
- more examples
- short documentation of used statistical apparatus
BE_power_sample_size_excerpt.pdf
for classical power / sample size in directory /doc added
Version 0.5-1
- first release to CRAN on 2010-05-07