`aides`

**Modify function:** improve function `DOSA()`

, `DoOSA()`

, and `PlotOSA()`

for avoiding the overlapping between OIS information and legend on the plot.

**Modify function:** improve function `DoSA()`

by introducing a new parameter, `RRR`

, enabling users to specify a pre-assumed relative risk reduction for estimation of required information size. This parameter is designed exclusively for dichotomous outcomes and replaces the argument of `PES`

parameter.

**Modify document:** improve Vignettes file of package *aides* with much more information.

**Modify document:** improve README file of package *aides* with appropriate plot size.

**Release:** *aides* 1.3.0 on the CRAN.

**Modify document:** improve package *aides* vignette by illustrating an example for the function `PlotPower()`

, and ensuring consistency by utilizing the same data set to illustrate examples for the functions `DoSA()`

, `DoOSA()`

, and `PlotOSA()`

.

**Modify document:** improve package *aides* manual by introducing a detailed section for the `PlotPower()`

function, and ensuring consistency by utilizing the same data set to illustrate examples for the functions `DoSA()`

, `DoOSA()`

, and `PlotOSA()`

.

**Add function:** `PlotPower()`

has been added in the package *aides* to visualize sequential-adjusted power.

**Modify function:** improve function `DoOSA()`

by setting argument `"D2"`

as default for parameter `adjust`

and calculating sequential-adjusted power.

**Modify function:** improve function `DoSA()`

by setting argument `"D2"`

as default for parameter `adjust`

.

**Modify function:** improve function `PlotOSA()`

for better visualization.

**Modify function:** improve function `PlotDistrSS()`

with parameters `method`

for indicating normality test method in terms of Shapiro test or Kolmogorov-Smirnov test.

**Modify function:** improve function `TestDisparity()`

with parameters for user-defined cutoff value of proportion of excessive cases in outlier-based disparity test, and for user-defined bootstrap replications for obtaining probability in variability-based disparity test.

parameter

`ctf`

with a numeric argument can be used for determining the threshold for proportion of excessive cases in outlier-based disparity test.parameter

`rplctns`

with an integer argument can be used for assigning bootstrap replications for obtaining probability of variability-based disparity test.

**Release:** *aides* 1.2.0 on the CRAN.

**Add function:** `PlotOSA()`

has been added in the package *aides* to visualize observed sequential analysis.

**Add function:** `DoOSA()`

has been added in the package *aides* to facilitate sequential method employing observed data, thereby distinguishing it from information derived from prospective planning.

**Add function:** `PlotDistrSS()`

has been added in the package *aides* to assist decision on the method selection for outlier detection and variability in disparity test.

**Modify document:** improve package *aides* manual by adding details section for function `DoSA()`

.

**Modify function:** improve function `DoSA()`

for showing information of relative risk reduction.

**Modify function:** improve function `PlotDisparity()`

for fixing bug of labeling proportion of excessive cases.

**Modify document:** improve package *aides* vignette.

**Modify function:** improve function `TestDisparity()`

with robust Coefficient of Variations.

**Modify document:** improve package *aides* manual by detailing returned values from function `TestDisparity()`

.

**Modify function:** improve function `TestDisparity()`

with default method for outlier detection according to distribution.

**Modify function:** improve function `PlotDisparity()`

with parameters for legend information, user-defined color of the association line between standard deviation and sample size on disparity plot (variability), and angle of study labels on disparity plot (outlier).

parameter

`lgcDtls`

with logic value`TRUE`

or`FALSE`

can be used for determining whether to show details of disparity test on the plot.parameter

`txtLbl`

with argument`n`

,`n.excessive`

, or`prop.excessive`

can be used for showing study information of each observed point on disparity plot (outlier).parameter

`szFntEC`

with a numeric value between 0 and 5 can be used for setting font size of study label on axis X for those studies with excessive cases.parameter

`szFntLbl`

with numeric value(s) between 0 and 5 can be used for setting font size of observed values.parameter

`szFntLblEC`

with a numeric value between 0 and 5 can be used for setting font size of observed value(s) among those studies with excessive cases.parameter

`clrLnCV`

with a color name can be used for changing line of the association between standard deviation and cases on disparity plot (variability).parameter

`clrLbl`

with color name(s) can be used for coloring observed values on disparity plot (outlier).parameter

`clrLblEC`

with a color name can be used for coloring observed value(s) among those studies with excessive cases on disparity plot (outlier).parameter

`anglAxsX`

with a numeric value between 0 and 360 can be used for setting angle of study labels on disparity plot (outlier).parameter

`anglLbl`

with a numeric value between 0 and 5 can be used for setting angle of observed values on disparity plot (outlier).

**Release:** *aides* 1.0.0 on the CRAN.

**Add function:** `PlotDisparity()`

to illustrate disparity plot.

**Modify function:** improve function `TestDisparity()`

with parameters for sorting data and building a data frame for user-defined disparity plot.

parameter

`sort`

with options of reference for data sorting (i.e. time, size, and excessive cases).returning a data frame for user-defined disparity plot by argument

`TRUE`

for parameter`plot`

.

**Modify function:** improve function `TestDisparity()`

with summary information.

displaying the results of outlier detection.

displaying information of outlier detection method.

removing results of normal distribution test from the summary infomation.

**Modify function:** improve function `TestDisparity()`

with parameters for data input and outlier detection.

parameter

`data`

can be used for importing a data frame for disparity test.parameter

`time`

is a vector of study year.calculation of outlier detection (default with GESD and MAD for normal and non-normal distribution respectively).

parameter

`outlier`

consists of four outlier detection methods (i.e. IQR, Z, GESD, and MAD).

**Modify function:** improve function `DoSA()`

with parameters for sequential analysis.

parameter

`PV`

for presumed variance (default with post-hoc analysis mode).parameter

`ref`

with options of reference group (i.e. 1 and 2; default with 2).parameter

`pooling`

with options of pooling method (e.g. inverse variance, Mantel-Haensze, and Peto; default with IV).parameter

`adjust`

with options of adjustment factor (including D-squared, I-squared, and conceptual heterogeneity; default none).

**Modify function:** improve function `DoSA()`

with information and displaying appearance on plot.

information on model of the meta-analysis and method for heterogeneity estimetor.

displaying spending boundaries with continuous curve rather lines between observed fraction points.

displaying cumulative z score with weighted points according to weights of each data source in the meta-analysis.

displaying required information size with red dash line.

displaying labels of each data source using parameter

`id = TURE`

.displaying y axis title with inverted favorable direction using parameter

`invert = TRUE`

.displaying beta-spending boundaries using parameter

`BSB = TRUE`

.

**Modify function:** improve function `DoSA()`

with structured summary information as follows:

1. information on main outputs of sequential analysis1.1. acquired sample size

1.2. required sample size

1.3. cumulative z score

1.4. alpha-spending boundary

1.5. adjusted confidence interval (based on alpha-spending boundary)

2. presumed parameters for sequential analysis2.1. probability of type I error.

2.2. probability of type II error.

2.3. statistic power.

2.4. effect size (including risk in each group for outcome with binary data).

2.5. variance.

3. meta-analysis3.1. settings for the meta-analysis.

3.2. result of the meta-analysis.

4. adjustment factor4.1. diversity (D-squared).

4.2. heterogeneity (I-squared).

4.3. value of the adjustment.

**Release:** *aides* 1.0.0 on the CRAN.

**Initiation:** Build package *aides* with first three functions including `TestDisparity()`

, `TestDiscordance()`

, and `DoSA()`

.

`TestDisparity()`

is to test assumption of disparity in sample size.

`TestDiscordance()`

is to test assumption of discordance between theoretical and observed study scale.

`DoSA()`

is to conduct sequential analysis.

This package is mainly written according to Google’s R style. For readers, details of naming rules are listed as follows:

.R fileis named using lower case with underscore "_" between words (e.g. test_disparity.R).

functionis named using verb or verb with noun, and the first character of each word is written in capital letter (e.g.`TestDiscordance()`

).

objectis named using noun with the first word in lower case, but the first character of rest words is written using capital letter (e.g.`dataCases`

).

variableis named using noun written in lower case. Words of variable name are separated by “.” if a variable name consists of more than two words (e.g.`dataDiSS$w.normality`

).

version number consists of three integers with a period between them (eg. version 1.0.0).

Updating the first integer refers to a modification with new methodological impact.

Changing the second integer refers to an update with a new function without new methodological impact.

Updating the third integer refers to a modification in a function.