acos acosh adaptsimp asin asinh atan atan2 atanh betafn BFGS cbind cbrt ceil chol_solve chol_solve cholesky copy copy_recycle copysign cos cosh crossprod dbeta dbinom dchisq det dexp df dgamma diag dlnorm dlogis dnbinom dnorm dpois dt dt1 dunif dweibull eigen epsilon erf erfc exp expm1 eye fabs factorial floor fmod for_each_ij_set gammafn gaxpy gradfdif gradfdifls hesscdif hypot intsimp inv inv invpd invpd j0 j1 jacfdif jn kronecker kurtosis kurtosisc ldexp lgamma linesearch1 linesearch2 lnbetafn lndbeta1 lndmvn lndnorm lndt1 lnfactorial lngammafn log log10 log1p logb lu_decomp lu_solve lu_solve matrix_order matrix_style max maxc maxind maxindc mean meanc median medianc min minc minind minindc mode modec nls_broyden ones operator! operator!= operator% operator& operator* operator* operator+ operator- operator- operator/ operator< operator<< operator<= operator== operator> operator>= operator>> operator^ operator| order pbeta pbinom pchisq pexp pf pgamma plnorm plogis pnbinom pnorm pow ppois prod prodc pt punif pweibull qnorm1 qr_decomp qr_solve qr_solve rbind rint row_interchange sd sd sdc selif seqa sgn sin sinh skew skewc sort sortc sqrt sum sumc svd t tan tanh unique var var varc vech xpnd y0 y1 yn zoom

double scythe::dnbinom ( unsigned int  x, double  n, double  p  ) [inline] The negative binomial density function. Computes the value of the negative binomial probability density function with n target number of successful trials and p probability of success on each trial, at the desired quantile x. It is also possible to call this function with a Matrix of doubles as its first argument. In this case the function will return a Matrix of doubles of the same dimension as x, containing the result of evaluating this function at each value in x, given the remaining fixed parameters. By default, the returned Matrix will be concrete and have the same matrix_order as x, but you may invoke a generalized version of the function with an explicit template call. Parameters: x The desired non-negative, integer, quantile. n The positive target number of successful trials (dispersion parameter). p The probability of success on each trial. See also: dnbinom(unsigned int x, double n, double p) rng::rnbinom(double n, double p) Exceptions: scythe_invalid_arg (Level 1) scythe_range_error (Level 1) scythe_precision_error (Level 1) References SCYTHE_CHECK_10.