Description Usage Arguments Format Value Fields Public Methods Private Methods Examples

ARS class providing object with methods for communication with R6

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`funx` |
a function we want to sample from |

`D` |
a vector of length 2 of numbers for bounds of function |

`R6Class`

object.

Object of `R6Class`

with methods to generate adaptive rejection sampling

`self$f`

Desnity function we want to sample from

`self$var_max`

Upper bound on function we want to sample from

`self$var_min`

Lower bound on function we want to sample from

`private$h_prims`

A R6 namedVector that contains h'(x)

`private$h_vals`

A R6 namedVector that contains h(x)

`private$s_cdfs`

A R6 namedVector that contains each interval's CDF

`private$u_vals`

A R6 namedVector that contains u(x)

`private$x`

a vector of x values that are our sample values. Empty unless sample() run

`private$y`

a vector of y values that begins to increase once sample() is run

`private$z`

a vector of z values, or intersection points, that begins to increase once sample() is run

`sample(n, init_l, init_r, squeeze)`

This method samples n points from using adaptive rejection sampling. User may pick two initalizing points, init_l and init_r which represent data points to start at. Useful if -1 and 1 are far from the pdf, i.e rnorm(mean=3000, sd=1)

`f(x)`

This method calculates our funx observation at a given x

`plot_sampdist()`

This method plots our normalized envelope function

`calc_sampdist()`

This method calculates the sampling distribution from a uniform distribution

`plot_samples()`

This method plots our samples in a histogramm, with a blue line highlighting the median value

`s()`

This method calculates the envelope or sampling function

`h(x)`

This method calculates the log of our funx at a given point x

`init_hprim()`

This method intializes our hprim values

`init_hval()`

This method initalizes our h values

`init_scdf()`

This method initalizes our cdf under the upper hull

`init_u()`

This method initializes our upper hull values

`init_y()`

This method initalizes our y values

`l(p)`

This method is a function that returns the slope of a lowerhull line given a point p

`u(p)`

This method is a function that returns the slope of a upperhull line given a point p

`sampl_exph()`

This method samples from our exp(h values)

`update(y, hy, hy_prim)`

This method updates our private variables after an interation

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