# plim: Left-Hand Limit of Distribution Function In mistr: Mixture and Composite Distributions

## Description

`plim` is a generic function that evaluates the left-hand limit of distribution function for a distribution object at given values.

## Usage

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16``` ```## S3 method for class 'compdist' plim(O, q, lower.tail = TRUE, log.p = FALSE) ## S3 method for class 'mixdist' plim(O, q, lower.tail = TRUE, log.p = FALSE) plim(O, q, lower.tail = TRUE, log.p = FALSE) ## S3 method for class 'discrdist' plim(O, q, lower.tail = TRUE, log.p = FALSE) ## S3 method for class 'contdist' plim(O, q, lower.tail = TRUE, log.p = FALSE) ## S3 method for class 'trans_univdist' plim(O, q, lower.tail = TRUE, log.p = FALSE) ```

## Arguments

 `O` distribution object. `q` vector of quantiles. `lower.tail` logical; if TRUE, probabilities are P[X < x] otherwise, P[X ≥ x], default: TRUE. `log.p` logical; if TRUE, probabilities p are given as log(p), default: FALSE.

## Details

Methods of `plim` function evaluates the left-hand limit of any offered distribution from the package `mistr`. The left-hand limit is defined as F(x-)=P(X<x). The function makes use of the p[sufix] and q[sufix] functions as `pnorm` or `qbeta` and thus, if a new distribution is added, these functions must be reachable through the search path.

## Value

Vector of computed results.

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10``` ```B <- binomdist(10, 0.3) plim(B, c(NA, 1, 3, 5)) P <- poisdist() M <- mixdist(B, P, weights = c(0.5, 0.5)) plim(M, c(NA, 1, 3, 5)) CC <- compdist(B, P, weights = c(0.5, 0.5), breakpoints = 1) CCC <- 2*CC+5 plim(CCC, c(NA, 1, 3, 5)) ```

mistr documentation built on Dec. 10, 2018, 5:05 p.m.