likchisq {likelihoodExplore} | R Documentation |
Chi-Squared Log Likelihood Function
Description
The log likelihood of a chi-squared density with data, x, df and ncp parameters.
Usage
likchisq(x, df, ncp = 0, log = TRUE)
Arguments
x |
vector of quantiles. |
df |
degrees of freedom (non-negative, but can be non-integer). |
ncp |
non-centrality parameter (non-negative). |
log |
logical; if TRUE, probabilities p are given as log(p). |
Details
The log likelihood is the log of a function of parameters given the data.
Value
A numeric scalar for the log likelihood of the chi-squared density given the data where df and ncp can be held constant or if vector were given vector will be returned.
Examples
likchisq(x = rchisq(n = 2, df = 4),
df = 4)
[Package likelihoodExplore version 0.1.0 Index]