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Type: Package
Title: Visualize Simon's Two-Stage Design
Version: 0.2.2
Date: 2025-04-27
Description: To visualize the probabilities of early termination, fail and success of Simon's two-stage design. To evaluate and visualize the operating characteristics of Simon's two-stage design.
License: GPL-2
Imports: methods, flextable, ggplot2, officer, geomtextpath, scales
Encoding: UTF-8
Language: en-US
Depends: R (≥ 4.4.0)
Suggests: clinfun, knitr, quarto, rmarkdown
RoxygenNote: 7.3.2
VignetteBuilder: quarto
NeedsCompilation: no
Packaged: 2025-04-28 03:16:36 UTC; tingtingzhan
Author: Tingting Zhan ORCID iD [aut, cre]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-28 03:30:02 UTC

VisualizeSimon2Stage: Visualize Simon's Two-Stage Design

Description

To visualize the probabilities of early termination, fail and success of Simon's two-stage design. To evaluate and visualize the operating characteristics of Simon's two-stage design.

Note

Help files of individual functions are intentionally suppressed in the pdf manual. Users are encouraged to get started with

vignette('intro', package = 'VisualizeSimon2Stage')

Author(s)

Maintainer: Tingting Zhan tingtingzhan@gmail.com (ORCID)


Short Paragraph to Describe a simon_oc Object

Description

To create a short paragraph to describe a simon_oc object.

Usage

Sprintf.simon_oc(model, ...)

Arguments

model

simon_oc object

...

additional parameters, currently not in use

Value

Function Sprintf.simon_oc() returns a character scalar.


Short Paragraph to Describe a ph2simon Object

Description

To create a short paragraph to describe a ph2simon object.

Usage

Sprintf.ph2simon4(model, ...)

Sprintf.ph2simon(model, ...)

Arguments

model

a ph2simon or ph2simon4 object

...

parameters of function ph2simon4(), most importantly type

Value

Function Sprintf.ph2simon() and Sprintf.ph2simon4() return a character scalar.


Convert ph2simon4 to flextable

Description

Convert ph2simon4 to flextable

Usage

## S3 method for class 'simon_pr'
as_flextable(x, ...)

Arguments

x

a ph2simon4

...

additional parameters, currently not in use

Value

Function as_flextable.simon_pr() returns a flextable


Plot Simon's Two-Stage Design

Description

Plot ph2simon object using ggplot2.

Usage

## S3 method for class 'ph2simon'
autoplot(object, ...)

## S3 method for class 'ph2simon4'
autoplot(object, ...)

## S3 method for class 'ph2simon4'
autolayer(
  object,
  r1 = object@r1,
  n1 = object@n1,
  r = object@r,
  n = object@n,
  pu = object@pu,
  pa = object@pa,
  type = object@type,
  ...
)

## S3 method for class 'ph2simon'
autolayer(object, ...)

Arguments

object

a ph2simon or ph2simon4 object

...

parameters of function ph2simon4(), most importantly type

r1, n1, r, n

(optional) integer scalars, see ph2simon4.

pu, pa

double scalars, see function ph2simon

type

see slot ⁠@type⁠ of ph2simon4 object

Value

Function autoplot.ph2simon() returns a ggplot object.

Function autolayer.ph2simon() returns a list of ggproto and labels.


S4 Object ph2simon4

Description

One or more Simon's two-stage designs.

Usage

ph2simon4(object, type = "minimax", ...)

Arguments

object

a ph2simon object

type

character scalar or vector, see Slots

...

additional parameters, currently not in use

Slots

r1,r

non-negative integer scalars or vectors

n1,n

positive integer scalars or vectors

pu,pa

double scalars

alpha,beta

double scalars

nmax

integer

type

character scalars or vectors, type of Simon's two-stage design,


Random Generator based on Simon's Two-Stage Design

Description

Random generator based on Simon's two-stage design.

Usage

r_simon(R, prob, object, ...)

## S3 method for class 'ph2simon'
r_simon(R, prob, object, ...)

## S3 method for class 'ph2simon4'
r_simon(
  R,
  prob,
  object,
  ...,
  r1 = object@r1,
  n1 = object@n1,
  r = object@r,
  n = object@n
)

Arguments

R

positive integer scalar, number of trials R

prob

double scalar, true response rate p

object

a ph2simon or ph2simon4 object

...

parameters of function ph2simon4(), most importantly type

r1, n1, r, n

(optional) integer scalars, see ph2simon4.

Details

Function r_simon() generates R copies of the number of responses y in one Simon's two-stage design. The conclusion of the trials are,

y \leq r_1

indicates early termination

r_1 < y \leq r

indicates failure to reject H_0

y > r

indicates success to reject H_0

Here r is not needed to generate the random number of responses y. Instead, r is needed to determine if the trial is a failure or a success. Therefore, r is not a parameter of function r_simon().

Value

Function r_simon() returns an integer vector of length R, which are the R copies of the number of responses in the Simon's two-stage design.


Show S4 Objects

Description

Show S4 object.

Usage

## S4 method for signature 'simon_oc'
show(object)

## S4 method for signature 'simon_pr'
show(object)

## S4 method for signature 'ph2simon4'
show(object)

Arguments

object

S4 objects, e.g., simon_oc, simon_pr

Value

The show method for S4 objects does not have a returned value.


Operating Characteristics of Simon's Two-Stage Design

Description

Operating characteristics of one Simon's two-stage design.

Usage

simon_oc(prob, R, object, ...)

## S3 method for class 'ph2simon'
simon_oc(prob, R = 10000L, object, ...)

## S3 method for class 'ph2simon4'
simon_oc(
  prob,
  R = 10000L,
  object,
  ...,
  r1 = object@r1,
  n1 = object@n1,
  r = object@r,
  n = object@n
)

Arguments

prob

named double vector, true response rate(s) p of (multiple) drug(s). The names(prob) should be the name(s) of the drug(s).

R

integer scalar, number of simulations. Default 1e4L.

object

ph2simon or ph2simon4 object

...

parameters of function ph2simon4(), most importantly type

r1, n1, r, n

(optional) integer scalars, see ph2simon4.

Value

Function simon_oc() returns simon_oc object.

Slots

maxResp

integer vector of same length as p, the frequencies of each regime having maximum response. The summation of maxResp is the number of simulation copies.

simon_maxResp

integer vector of same length as p, the frequencies of each regime having maximum response and success in Simon's two-stage trial.


Probabilities of one Simon's Two-Stage Design

Description

Probabilities of frail (i.e., early termination) and success (to reject H_0) of one Simon's two-stage design, at given true response rate(s).

Usage

simon_pr(prob, object, ...)

## S3 method for class 'ph2simon'
simon_pr(prob, object, ...)

## S3 method for class 'ph2simon4'
simon_pr(
  prob,
  object,
  r1 = object@r1,
  n1 = object@n1,
  r = object@r,
  n = object@n,
  ...
)

Arguments

prob

double scalar or vector, true response rate(s) p

object

a ph2simon or ph2simon4 object

...

parameters of function ph2simon4(), most importantly type

r1, n1, r, n

(optional) integer scalars, see ph2simon4.

Value

Function simon_pr() returns simon_pr object.

Slots

frail

numeric scalar or vector, probabilities of frail (i.e., early termination) at given true response rate(s) p.

reject

numeric scalar or vector, probabilities of success (to reject H_0) at given true response rate(s) p.

eN

numeric scalar or vector, expected sample size(s) \textrm{E}(n) at given true response rate(s) p.

prob

double scalar or vector, true response rate(s) p


Summarize a Simon's Two-Stage Design

Description

Summarize a Simon's two-stage design

Usage

## S3 method for class 'ph2simon4'
summary(object, ...)

## S3 method for class 'ph2simon'
summary(object, ...)

Arguments

object

a ph2simon or ph2simon4 object

...

parameters of function ph2simon4(), most importantly type

Value

Function summary.ph2simon() returns a list with three (3) elements

'design'

integer matrix

'EN'

double matrix

'p'

double matrix

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.