| /dports/math/R/R-4.1.2/src/library/stats/man/ |
| H A D | Cauchy.Rd | 11 \alias{rcauchy}
22 rcauchy(n, location = 0, scale = 1)
37 distribution. \code{rcauchy} generates random deviates from the
41 \code{rcauchy}, and is the maximum of the lengths of the
63 \code{rcauchy} uses inversion.
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| /dports/math/libRmath/R-4.1.1/src/library/stats/man/ |
| H A D | Cauchy.Rd | 11 \alias{rcauchy}
22 rcauchy(n, location = 0, scale = 1)
37 distribution. \code{rcauchy} generates random deviates from the
41 \code{rcauchy}, and is the maximum of the lengths of the
63 \code{rcauchy} uses inversion.
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| /dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/acro/packages/utilib/src/libs/ |
| H A D | gencau.c | 14 double rcauchy(double alpha, double beta) in rcauchy() function
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| /dports/math/R-cran-matrixStats/matrixStats/tests/ |
| H A D | weightedMedian.R | 131 x <- rcauchy(100)
132 w <- abs(rcauchy(100))
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| /dports/math/R/R-4.1.2/src/nmath/ |
| H A D | rcauchy.c | 32 double rcauchy(double location, double scale) in rcauchy() function
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| H A D | Makefile.win | 29 dcauchy.c pcauchy.c qcauchy.c rcauchy.c \
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| /dports/math/libRmath/R-4.1.1/src/nmath/ |
| H A D | rcauchy.c | 32 double rcauchy(double location, double scale) in rcauchy() function
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| H A D | Makefile.win | 29 dcauchy.c pcauchy.c qcauchy.c rcauchy.c \
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| /dports/biology/vt/vt-0.57721/lib/Rmath/ |
| H A D | rcauchy.c | 32 double rcauchy(double location, double scale) in rcauchy() function
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| /dports/math/py-rvlib/rvlib-0.0.6/src/ |
| H A D | rcauchy.c | 32 double rcauchy(double location, double scale) in rcauchy() function
|
| /dports/math/jags/JAGS-4.3.0/src/jrmath/ |
| H A D | rcauchy.c | 32 double rcauchy(double location, double scale, JRNG *rng) in rcauchy() function
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| H A D | Makefile.am | 32 rcauchy.c dcauchy.c pcauchy.c qcauchy.c \
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| /dports/math/R-cran-stabledist/stabledist/ |
| H A D | NAMESPACE | 3 dcauchy, pcauchy, qcauchy, rcauchy,
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| /dports/devel/R-cran-purrr/purrr/man/ |
| H A D | invoke.Rd | 109 list(m1 = mean, m2 = median) \%>\% invoke_map(x = rcauchy(100))
110 list(m1 = mean, m2 = median) \%>\% invoke_map_dbl(x = rcauchy(100))
116 invoke_map(, rcauchy(100))
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| /dports/devel/R-cran-Rcpp/Rcpp/inst/include/Rcpp/stats/random/ |
| H A D | random.h | 108 inline NumericVector rcauchy( int n, double location, double scale ){ in rcauchy() function
118 inline NumericVector rcauchy( int n, double location /* , double scale [=1.0] */ ){ in rcauchy() function
128 inline NumericVector rcauchy( int n /*, double location [=0.0] , double scale [=1.0] */ ){ in rcauchy() function
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| /dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/acro/packages/utilib/src/utilib/ |
| H A D | Cauchy.h | 71 { return rcauchy(alpha,beta); } in eval_c_func()
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| H A D | Random.h | 64 extern double rcauchy _((double alpha, double beta));
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| /dports/math/jags/JAGS-4.3.0/src/include/ |
| H A D | JRmath.h | 294 #define rcauchy jags_rcauchy macro
431 double rcauchy(double, double, JRNG*);
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| /dports/biology/vt/vt-0.57721/lib/Rmath/Rmath/ |
| H A D | Rmath.h | 309 #define rcauchy Rf_rcauchy macro
448 double rcauchy(double, double);
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| /dports/math/py-rvlib/rvlib-0.0.6/include/ |
| H A D | Rmath.h | 351 #define rcauchy Rf_rcauchy macro
490 double rcauchy(double, double);
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| /dports/math/R-cran-qualityTools/qualityTools/ |
| H A D | NAMESPACE | 15 "qnorm", "qt", "quantile", "qweibull", "rcauchy", "rexp",
|
| /dports/math/R-cran-VGAM/VGAM/man/ |
| H A D | cauchy.Rd | 152 cdata <- transform(cdata, y2 = rcauchy(nn, loc, scale))
160 cdata <- transform(cdata, y1 = rcauchy(nn, loc, scale1))
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| H A D | round2.Rd | 75 set.seed(1); x <- sort(rcauchy(10))
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| /dports/devel/R-cran-Rcpp/Rcpp/inst/include/Rcpp/sugar/ |
| H A D | undoRmath.h | 140 #undef rcauchy
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| /dports/devel/R-cran-pillar/pillar/man/ |
| H A D | pillar.Rd | 45 pillar(rcauchy(20))
|