CLPS0900R: Demonstrations and Utilities for CLPS0900

#' CLPS0900R: Utilities for Quantitative Methods course.
#'
#' The package includes demonstrations in R that are presented in class,
#' tools that are used in weekly problem sets, and associated data sets.
#'
#' @section CLPS0900R functions:
#' run.whr() A suite of ANOVA and other analyses using World Happiness Report data
#'
#' demo_hist()  A simple histogram
#'
#' demo_nhst()  A simulation of 2-sample comparisons
#'
#' sdpop()  Returns sigma for an assumed population of values
#'
#' binomials1()  Shows binomial distribution
#'
#' run.binomials1()  Run binomial demonstration with manipulate wrapper
#'
#' samp.dist1()  Show a sampling distribution of the mean
#'
#' run.sampling.dist1()  Run sampling distribution with manipulate wrapper
#'
#' histnormal()  Create density histogram with normal superimposed
#'
#' run.histnormal() Manipulate histnormal() function
#'
#' onesample.ztest() NHST of one sample mean using known mu and sigma
#'
#' run.onesample.ztest() Manipulate onesample.ztest
#'
#' one.sample.t() Another version of one sample Students t test, allowing different inputs
#'
#' run.power() Perform a power analysis
#'
#' run.tdist() Manipulate a t distribution and compare to normal
#' display.tfunction() Plot Students t and compare to standard normal
#'
#' @docType package
#' @name CLPS0900R
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