get_ys_norm

Used internally. Function factory used to generate a function that generates
outcomes from normal distributions.

internal

Package that simulates adaptive (multi-arm, multi-stage) clinical
trials using adaptive stopping, adaptive arm dropping, and/or adaptive
randomisation. Developed as part of the INCEPT (Intensive Care Platform
Trial) project (<https://incept.dk/>), primarily supported by a grant
from Sygeforsikringen "danmark" (<https://www.sygeforsikring.dk/>).

Anders Granholm

adaptr

Adaptive Trial Simulator

Benjamin Skov Kaas-Hansen

Aksel Karl Georg Jensen

Theis Lange

get_ys_norm function

<dl><dt>arms</dt>
<dd>character vector, <code>arms</code> as specified in <code>setup_trial_norm()</code>.</dd>
<dt>means</dt>
<dd>numeric vector, true <code>means</code> in all <code>arms</code> as specified in
<code>setup_trial_norm()</code>.</dd>
<dt>sds</dt>
<dd>numeric vector, true standard deviations (<code>sds</code>) in all <code>arms</code> as
specified in <code>setup_trial_norm()</code>.</dd></dl>

Arguments

Generate normally distributed continuous outcomes — get_ys_norm

<dl>

<dt>arms</dt>
<dd>character vector, <code>arms</code> as specified in <code>setup_trial_norm()</code>.</dd>


<dt>means</dt>
<dd>numeric vector, true <code>means</code> in all <code>arms</code> as specified in
<code>setup_trial_norm()</code>.</dd>


<dt>sds</dt>
<dd>numeric vector, true standard deviations (<code>sds</code>) in all <code>arms</code> as
specified in <code>setup_trial_norm()</code>.</dd>

</dl>

get_ys_norm: Generate normally distributed continuous outcomes

Description

Usage

Value

Arguments