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Microsimulation API
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Functions | |
| double | rnormPos (double mean, double sd) |
| rnorm function constrained to be positive. This uses brute-force re-sampling rather than conditioning on the distribution function. More... | |
| double | rllogis (double shape, double scale) |
| rllogis function for a random covariate from a log-logistic distribution with shape and scale. S(t) = 1/(1+(t/scale)^shape). More... | |
| double | rllogis_trunc (double shape, double scale, double left) |
| rllogis_trunc function for a random covariate from a log-logistic distribution with shape and scale with minimum time left. S(t|t>x)=S(t)/S(x) where S(t)=1/(1+(t/scale)^shape). More... | |
| double R::rllogis | ( | double | shape, |
| double | scale | ||
| ) |
rllogis function for a random covariate from a log-logistic distribution with shape and scale. S(t) = 1/(1+(t/scale)^shape).
Definition at line 113 of file microsimulation.cc.
| double R::rllogis_trunc | ( | double | shape, |
| double | scale, | ||
| double | left | ||
| ) |
rllogis_trunc function for a random covariate from a log-logistic distribution with shape and scale with minimum time left. S(t|t>x)=S(t)/S(x) where S(t)=1/(1+(t/scale)^shape).
Definition at line 118 of file microsimulation.cc.
| double R::rnormPos | ( | double | mean, |
| double | sd | ||
| ) |
rnorm function constrained to be positive. This uses brute-force re-sampling rather than conditioning on the distribution function.
Definition at line 107 of file microsimulation.cc.
1.8.17