The Inverse Exponential distribution

dist_inverse_exponential(rate)

Arguments

rate

an alternative way to specify the scale.

See also

actuar::InverseExponential

Examples

dist <- dist_inverse_exponential(rate = 1:5)
dist
#> <distribution[5]>
#> [1] InvExp(1) InvExp(2) InvExp(3) InvExp(4) InvExp(5)

mean(dist)
#> [1] NA NA NA NA NA
variance(dist)
#> [1] NA NA NA NA NA
support(dist)
#> <support_region[5]>
#> [1] [0,Inf] [0,Inf] [0,Inf] [0,Inf] [0,Inf]
generate(dist, 10)
#> [[1]]
#>  [1] 0.5896626 2.6287441 1.4588319 0.8357837 3.2557046 0.6186568 3.1663421
#>  [8] 0.6744142 0.7599582 0.7124186
#> 
#> [[2]]
#>  [1]  1.0772494  0.3760602  1.9104707  0.2351214  0.3172928  0.6157982
#>  [7] 33.4875297  1.5952881  0.8646049  1.1970563
#> 
#> [[3]]
#>  [1]  0.1577589 14.7344709  0.1671916  0.5305902  1.0837988  0.3013441
#>  [7]  1.7254190  0.7319432  2.0881861  0.4512011
#> 
#> [[4]]
#>  [1]  0.11318074  2.94521803  0.11749572  1.29175346  0.08422479  2.31000800
#>  [7] 15.81759899  0.24006460  0.16492254  0.22657177
#> 
#> [[5]]
#>  [1] 0.15397329 4.67991848 0.55714570 0.16586534 1.13160129 0.28612991
#>  [7] 0.31925330 0.69650210 0.09155691 0.43722294
#> 

density(dist, 2)
#> [1] 0.15163266 0.09735010 0.07054014 0.05515606 0.04524187
density(dist, 2, log = TRUE)
#> [1] -1.886294 -2.329442 -2.651573 -2.897589 -3.095732

cdf(dist, 4)
#> [1] 0.7788008 0.8824969 0.9200444 0.9394131 0.9512294

quantile(dist, 0.7)
#> [1] 2.8036733 1.4018366 0.9345578 0.7009183 0.5607347