stderror

Calculate the standard error of the mean from a vector of numbers

A collection of implementations of semi-supervised classifiers
and methods to evaluate their performance. The package includes implementations
of, among others, Implicitly Constrained Learning, Moment Constrained Learning,
the Transductive SVM, Manifold regularization, Maximum Contrastive Pessimistic
Likelihood estimation, S4VM and WellSVM.

Jesse Krijthe

RSSL

Implementations of Semi-Supervised Learning Approaches for
Classification

stderror function

<dl><dt>x</dt>
<dd>numeric; vector for which to calculate standard error</dd></dl>

Arguments

Calculate the standard error of the mean from a vector of numbers — stderror

<dl>

<dt>x</dt>
<dd>numeric; vector for which to calculate standard error</dd>

</dl>

stderror: Calculate the standard error of the mean from a vector of numbers

Description

Usage

Arguments