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The smovie package provides movies to help students to
understand statistical concepts. The rpanel
package is used to create interactive plots that move to illustrate
key statistical ideas and methods. The movies cover the topics of
probability distributions; sampling distributions of the mean (central
limit theorem), the median, the maximum (extremal types theorem) and the
(Fisher transformation of the) correlation coefficient; simple linear
regression; hypothesis testing.
The function wws produces a movie to visualise the Wald,
Wilks and score likelihood-based test statistics, for a model with a
scalar unknown parameter. The user can change the value of the parameter
under a simple null hypothesis and observe the effect on the test
statistics. The following code uses the log-likelihood from a binomial
experiment and considers the null hypothesis that the success
probability \(\theta\) is equal to
\(\theta_0\). The user may specify
their own log-likelihood.
wws(theta0 = 0.5)To get the current released version from CRAN:
install.packages("smovie")See vignette("smovie-vignette", package = "smovie") for
an overview of the package.
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.