Description Usage Arguments Value Author(s) Examples

Simulates a sample from a truncated distribution where the functions for the cdf and inverse cdf are available.

1 | ```
rtruncated(n,lo,hi,pf,qf,...)
``` |

`n` |
size of simulated sample |

`lo` |
low truncation point |

`hi` |
high truncation point |

`pf` |
function containing cdf of untruncated distribution |

`qf` |
function containing inverse cdf of untruncated distribution |

`...` |
parameters used in the functions pf and qf |

vector of simulated draws from distribution

Jim Albert

1 2 3 4 5 6 7 8 9 10 | ```
# want a sample of 10 from normal(2, 1) distribution truncated below by 3
n=10
lo=3
hi=Inf
rtruncated(n,lo,hi,pnorm,qnorm,mean=2,sd=1)
# want a sample of 20 from beta(2, 5) distribution truncated to (.3, .8)
n=20
lo=0.3
hi=0.8
rtruncated(n,lo,hi,pbeta,qbeta,2,5)
``` |

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