Automatic Differentiation
 
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discrete_range_log.hpp
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1#ifndef STAN_MATH_PRIM_PROB_DISCRETE_RANGE_LOG_HPP
2#define STAN_MATH_PRIM_PROB_DISCRETE_RANGE_LOG_HPP
3
5
6namespace stan {
7namespace math {
8
12template <bool propto, typename T_y, typename T_lower, typename T_upper>
13double discrete_range_log(const T_y& y, const T_lower& lower,
14 const T_upper& upper) {
15 return discrete_range_lpmf<propto, T_y, T_lower, T_upper>(y, lower, upper);
16}
17
21template <typename T_y, typename T_lower, typename T_upper>
22inline double discrete_range_log(const T_y& y, const T_lower& lower,
23 const T_upper& upper) {
24 return discrete_range_lpmf(y, lower, upper);
25}
26
27} // namespace math
28} // namespace stan
29#endif
double discrete_range_lpmf(const T_y &y, const T_lower &lower, const T_upper &upper)
Return the log PMF of a discrete range for the given y, lower and upper bound (all integers).
double discrete_range_log(const T_y &y, const T_lower &lower, const T_upper &upper)
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...
Definition fvar.hpp:9