ptruncnorm: ptruncnorm .

In shabbychef/epsiwal: Exact Post Selection Inference with Applications to the Lasso

ptruncnorm .

Description

Cumulative distribution of the truncated normal function.

Usage

ptruncnorm(
  q,
  mean = 0,
  sd = 1,
  a = -Inf,
  b = Inf,
  lower.tail = TRUE,
  log.p = FALSE
)

Arguments

q	vector of quantiles.
mean	vector of means.
sd	vector of standard deviations.
a	vector of the left truncation value(s).
b	vector of the right truncation value(s).
lower.tail	logical; if TRUE (default), probabilities are P[X ≤ x] otherwise, P[X > x].
log.p	logical; if TRUE, probabilities p are given as log(p).

Value

The distribution function of the truncated normal.

Invalid arguments will result in return value NaN with a warning.

Note

Input are recycled as possible.

Author(s)

Steven E. Pav [e-mail]

References

Hattaway, James T. "Parameter estimation and hypothesis testing for the truncated normal distribution with applications to introductory statistics grades." BYU Masters Thesis (2010). https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?referer=&httpsredir=1&article=3052&context=etd

Examples

y <- ptruncnorm(seq(-5,5,length.out=101), a=-1, b=2)

shabbychef/epsiwal documentation built on May 15, 2022, 4:30 a.m.