multinom_test_cpp

C++ function computing exact multinomial p-values. Does not perform any safety checks. Incorrect input may result in unwanted behavior.
Use only through <code>multinom.test</code> with method = "exact" is recommended.

Computes exact p-values for multinomial goodness-of-fit tests based on multiple test statistics, namely, Pearson's chi-square, the log-likelihood ratio and the probability mass statistic. Implements the algorithm detailed in Resin (2023) <doi:10.1080/10618600.2022.2102026>. Estimates based on the classical asymptotic chi-square approximation or Monte-Carlo simulation can also be computed.

Johannes Resin

ExactMultinom

Multinomial Goodness-of-Fit Tests

multinom_test_cpp function

<dl><dt>x</dt>
<dd>Vector of non-negative integers - number of times each outcome was observed.</dd>
<dt>p</dt>
<dd>A vector of positive numbers - the hypothesized probabilities for each outcome. Need to sum to 1!</dd>
<dt>theta</dt>
<dd>Parameter - p-values less than theta will not be determined precisely.</dd></dl>

Arguments

C++ Function for Exact Multinomial Test — multinom_test_cpp

<dl>

<dt>x</dt>
<dd>Vector of non-negative integers - number of times each outcome was observed.</dd>


<dt>p</dt>
<dd>A vector of positive numbers - the hypothesized probabilities for each outcome. Need to sum to 1!</dd>


<dt>theta</dt>
<dd>Parameter - p-values less than theta will not be determined precisely.</dd>

</dl>

multinom_test_cpp: C++ Function for Exact Multinomial Test

Description

Usage

Value

Arguments

Details

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