/dports/finance/R-cran-fBasics/fBasics/inst/unitTests/ |
H A D | runit.HyperbolicDistribution.R | 61 n = 2000, robust = FALSE) functionVar 81 n = 1000, robust = FALSE) functionVar 90 n = 1000, robust = FALSE) 99 n = 1000, robust = FALSE) 109 n = 1000, robust = FALSE) # CHECK 130 n = 1000, robust = FALSE) functionVar
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/dports/graphics/geos/geos-3.9.1/tests/xmltester/ |
H A D | Makefile.in | 642 $(srcdir)/tests/robust/TestRobustOverlayFixed.xml \ 643 $(srcdir)/tests/robust/TestRobustRelate.xml \ 644 $(srcdir)/tests/robust/overlay/TestOverlay-misc-5.xml \ 672 $(srcdir)/tests/robust/overlay/TestOverlay-geos-1051.xml 680 $(srcdir)/tests/failure/robust-TestRobustRelateFloat.xml 1197 $(srcdir)/tests/robust/overlay/TestOverlay-misc-1.xml \ 1198 $(srcdir)/tests/robust/overlay/TestOverlay-misc-2.xml \ 1199 $(srcdir)/tests/robust/overlay/TestOverlay-misc-3.xml \ 1200 $(srcdir)/tests/robust/overlay/TestOverlay-misc-4.xml \ 1201 $(srcdir)/tests/robust/overlay/TestOverlay-misc-5.xml \ [all …]
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/dports/math/py-spreg/spreg-1.2.4/spreg/ |
H A D | twosls_sp_regimes.py | 15 from .robust import hac_multi 428 robust=None, gwk=None, sig2n_k=False, argument 438 USER.check_robust(robust, gwk) 479 robust=robust, gwk=gwk, sig2n_k=sig2n_k, cols2regi=cols2regi, 489 regimes=regimes, w=w, robust=robust, gwk=gwk, 599 if robust == 'hac': 601 if robust == 'ogmm': 653 if robust == 'hac' or robust == 'ogmm': 656 robust2 = robust 660 if robust == 'ogmm': [all …]
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H A D | twosls_sp.py | 169 robust=None, gwk=None, sig2n_k=False): argument 173 robust=robust, gwk=gwk, sig2n_k=sig2n_k) 461 robust=None, gwk=None, sig2n_k=False, argument 470 USER.check_robust(robust, gwk) 475 w_lags=w_lags, robust=robust, gwk=gwk, 492 self.robust = USER.set_robust(robust)
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H A D | user_output.py | 200 def set_robust(robust): argument 215 if not robust: 217 return robust 245 …, multi_set, name_multiID, y, x, name_y, name_x, name_ds, title, name_w, robust, endog=False, sp_l… argument 268 multireg[r].robust = set_robust(robust) 454 def check_robust(robust, wk): argument 491 if robust: 492 if robust.lower() == 'hac': 514 elif robust.lower() == 'white' or robust.lower() == 'ogmm':
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/dports/mail/procmail/procmail-3.22/src/ |
H A D | Makefile.0 | 4 mailfold.$(O) foldinfo.$(O) misc.$(O) pipes.$(O) regexp.$(O) robust.$(O) \ 59 acommon.$(O): ../autoconf.h ../config.h includes.h acommon.h robust.h shell.h 61 authenticate.$(O): ../autoconf.h ../config.h includes.h robust.h shell.h 65 common.$(O): ../autoconf.h ../config.h includes.h procmail.h sublib.h robust.h 83 foldinfo.$(O): lastdirsep.h robust.h exopen.h foldinfo.h 99 lmtp.$(O): ../autoconf.h ../config.h includes.h procmail.h sublib.h robust.h 110 mailfold.$(O): sublib.h robust.h shell.h misc.h pipes.h common.h exopen.h 131 procmail.$(O): acommon.h sublib.h robust.h shell.h misc.h pipes.h common.h 139 robust.$(O): ../autoconf.h ../config.h includes.h procmail.h robust.h shell.h 140 robust.$(O): misc.h pipes.h common.h mailfold.h shell.h [all …]
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/dports/graphics/embree/embree-3.13.2/kernels/geometry/ |
H A D | intersector_iterators.h | 22 template<int N, bool robust> 23 …sectContext* context, const Primitive* prim, size_t num, const TravRay<N,robust> &tray, size_t& la… in intersect() 29 template<int N, bool robust> 30 …sectContext* context, const Primitive* prim, size_t num, const TravRay<N,robust> &tray, size_t& la… in occluded() 66 template<bool robust> 67 …ctContext* context, const Primitive* prim, size_t num, const TravRayK<K, robust> &tray, size_t& la… in intersect() 74 template<bool robust> 85 template<int N, bool robust> 86 …sectContext* context, const Primitive* prim, size_t num, const TravRay<N,robust> &tray, size_t& la… in intersect() 93 template<int N, bool robust> [all …]
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/dports/devel/R-cran-broom/broom/R/ |
H A D | lfe-tidiers.R | 63 if (!is.null(dots$robust)) { 75 robust <- !is.null(x$clustervar) functionVar 77 robust <- FALSE 85 robust <- TRUE 91 stats::coef(summary(x, lhs = y, robust = robust)) %>% 98 stats::coef(summary(x, robust = robust)),
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/dports/graphics/embree/embree-3.13.2/kernels/bvh/ |
H A D | bvh_intersector_hybrid.h | 15 template<int K, bool robust> 19 … template<int N, int K, int types, bool robust, typename PrimitiveIntersectorK, bool single = true> 41 … RayHitK<K>& ray, const TravRayK<K, robust>& tray, IntersectContext* context); 43 … RayK<K>& ray, const TravRayK<K, robust>& tray, IntersectContext* context); 55 template<int N, int K, int types, bool robust, typename PrimitiveIntersectorK> 56 …class BVHNIntersectorKChunk : public BVHNIntersectorKHybrid<N, K, types, robust, PrimitiveIntersec…
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H A D | bvh_intersector_stream.cpp | 32 template<int N, int types, bool robust, typename PrimitiveIntersector> 48 template<int N, int types, bool robust, typename PrimitiveIntersector> 61 __aligned(64) TravRayKStream<K, robust> packets[MAX_INTERNAL_STREAM_SIZE/K]; in intersectCoherent() 62 __aligned(64) Frustum<robust> frustum; in intersectCoherent() 147 TravRayKStream<K, robust>& p = packets[i]; in intersectCoherent() 156 template<int N, int types, bool robust, typename PrimitiveIntersector> 173 template<int N, int types, bool robust, typename PrimitiveIntersector> 188 __aligned(64) Frustum<robust> frustum; in occludedCoherent() 275 TravRayKStream<K, robust>& p = packets[i]; in occludedCoherent() 286 template<int N, int types, bool robust, typename PrimitiveIntersector> [all …]
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/dports/math/gretl/gretl-2021d/share/scripts/greene/ |
H A D | greene15_3.inp | 17 # note: "robust" below gives regular White's standard errors 18 ols It 0 Ft Ct --robust 29 # With the dataset defined as a panel, "robust" produces Arellano-type 31 ols It 0 Ft Ct --robust 34 # Standard Errors" (these are not robust with respect to autocorrelation) 36 ols It 0 Ft Ct --robust
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/dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/stats/ |
H A D | anova.py | 14 def _get_covariance(model, robust): argument 15 if robust is None: 17 elif robust == "hc0": 19 elif robust == "hc1": 21 elif robust == "hc2": 23 elif robust == "hc3": 57 robust = kwargs.get("robust", None) 58 if robust: 59 robust = robust.lower() 81 robust) [all …]
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/dports/devel/R-cran-broom/broom/man/ |
H A D | glance.glmRob.Rd | 2 % Please edit documentation in R/robust-glmrob-tidiers.R 10 \item{x}{A \code{glmRob} object returned from \code{\link[robust:glmRob]{robust::glmRob()}}.} 44 if (requireNamespace("robust", quietly = TRUE)) { 45 library(robust) 54 \code{\link[robust:glmRob]{robust::glmRob()}} 56 Other robust tidiers: 62 \concept{robust tidiers}
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H A D | glance.lmRob.Rd | 2 % Please edit documentation in R/robust-lmrob-tidiers.R 10 \item{x}{A \code{lmRob} object returned from \code{\link[robust:lmRob]{robust::lmRob()}}.} 44 if (requireNamespace("robust", quietly = TRUE)) { 45 library(robust) 55 \code{\link[robust:lmRob]{robust::lmRob()}} 57 Other robust tidiers: 63 \concept{robust tidiers}
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/dports/math/R-cran-spdep/spdep/R/ |
H A D | s2sls.R | 5 na.action=na.fail, robust=FALSE, HC=NULL, legacy=FALSE, W2X=TRUE) { argument 35 if (robust) { 80 result <- tsls(y=y, yend=Wy, X=X, Zinst=inst, robust=robust, HC=HC, 83 result$robust <- robust 84 if (robust) result$HC <- HC 126 if (object$robust) colnames(object$Coef) <- c("Estimate", 274 if (!is.null(obj$robust)) { 275 attr(res, "robust") <- obj$robust 307 stsls_old <- function(W,y,X,robust=FALSE) { argument 312 result <- tsls(y,Wy,X,WX,robust) [all …]
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/dports/security/liboqs/liboqs-0.7.0/docs/algorithms/sig/ |
H A D | sphincs.md | 54 ## SPHINCS+-Haraka-128f-robust implementation characteristics 74 ## SPHINCS+-Haraka-128s-robust implementation characteristics 92 ## SPHINCS+-Haraka-192f-robust implementation characteristics 110 ## SPHINCS+-Haraka-192s-robust implementation characteristics 128 ## SPHINCS+-Haraka-256f-robust implementation characteristics 146 ## SPHINCS+-Haraka-256s-robust implementation characteristics 164 ## SPHINCS+-SHA256-128f-robust implementation characteristics 182 ## SPHINCS+-SHA256-128s-robust implementation characteristics 200 ## SPHINCS+-SHA256-192f-robust implementation characteristics 218 ## SPHINCS+-SHA256-192s-robust implementation characteristics [all …]
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/dports/math/R-cran-Zelig/Zelig/R/ |
H A D | model-weibull.R | 106 …zelig = function(formula, ..., robust = FALSE, cluster = NULL, data, weights = NULL, by = NULL, bo… argument 111 if (!(is.null(cluster) || robust)) 114 if (robust || !is.null(cluster)) 118 callSuper(formula = localFormula, data = data, ..., robust = robust, 121 if(!robust){ 127 robust.model.call$robust <- TRUE
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H A D | model-lognorm.R | 98 …zelig = function(formula, ..., robust = FALSE, cluster = NULL, data, weights = NULL, by = NULL, bo… argument 103 if (!(is.null(cluster) || robust)) 106 if (robust || !is.null(cluster)) 110 callSuper(formula = localFormula, data = data, ..., robust = robust, 113 if(!robust){ 119 robust.model.call$robust <- TRUE
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/dports/math/R-cran-car/car/R/ |
H A D | invResPlot.R | 9 inverseResponsePlot <- function(model, lambda=c(-1, 0, 1), robust=FALSE, argument 16 inverseResponsePlot.lm <- function(model, lambda=c(-1, 0, 1), robust=FALSE, argument 34 if(robust == TRUE){ 45 invTranPlot(y, yhat, lambda=lambda, xlab=xlab, robust=robust,
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/dports/graphics/piglit/piglit-136a7f5fa0703603be1ffb338abe4865e76a8058/tests/spec/glx_arb_create_context/ |
H A D | no-error.c | 33 static enum piglit_result check_no_error(bool debug, bool robust) in check_no_error() argument 37 ctx_flags |= robust ? GLX_CONTEXT_ROBUST_ACCESS_BIT_ARB : 0; in check_no_error() 49 printf("info: debug=%s, robustness=%s\n", BOOLSTR(debug), BOOLSTR(robust)); in check_no_error() 51 if (robust && !piglit_is_glx_extension_supported(dpy, "GLX_ARB_create_context_robustness")) { in check_no_error() 61 if (debug || robust) { in check_no_error()
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/dports/multimedia/libv4l/linux-5.13-rc2/Documentation/locking/ |
H A D | robust-futexes.rst | 2 A description of what robust futexes are 10 what are robust futexes? To answer that, we first need to understand 37 To solve such types of problems, "robust mutex" userspace APIs were 56 robust futexes attached to this area'. This approach requires 3 new 86 New approach to robust futexes 90 robust locks that userspace is holding (maintained by glibc) - which 122 mechanism, which fully enables robust mutexes. 136 to do a hard choice between performance and robustness - robust 189 robust and normal futexes. 210 parsing of the userspace list is robust [ ;-) ] even if the list is [all …]
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/dports/multimedia/v4l-utils/linux-5.13-rc2/Documentation/locking/ |
H A D | robust-futexes.rst | 2 A description of what robust futexes are 10 what are robust futexes? To answer that, we first need to understand 37 To solve such types of problems, "robust mutex" userspace APIs were 56 robust futexes attached to this area'. This approach requires 3 new 86 New approach to robust futexes 90 robust locks that userspace is holding (maintained by glibc) - which 122 mechanism, which fully enables robust mutexes. 136 to do a hard choice between performance and robustness - robust 189 robust and normal futexes. 210 parsing of the userspace list is robust [ ;-) ] even if the list is [all …]
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/dports/multimedia/v4l_compat/linux-5.13-rc2/Documentation/locking/ |
H A D | robust-futexes.rst | 2 A description of what robust futexes are 10 what are robust futexes? To answer that, we first need to understand 37 To solve such types of problems, "robust mutex" userspace APIs were 56 robust futexes attached to this area'. This approach requires 3 new 86 New approach to robust futexes 90 robust locks that userspace is holding (maintained by glibc) - which 122 mechanism, which fully enables robust mutexes. 136 to do a hard choice between performance and robustness - robust 189 robust and normal futexes. 210 parsing of the userspace list is robust [ ;-) ] even if the list is [all …]
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/dports/math/R-cran-robustbase/robustbase/man/ |
H A D | anova.glmrob.Rd | 5 Compute an analysis of robust quasi-deviance table for one or more 19 Specifying a single object gives a sequential analysis of robust 21 robust residual quasi-deviance as each term of the formula is added in 28 change in degrees of freedom and robust quasi-deviance is also 34 comparing the reduction in robust quasi-deviance for the model on the 35 row to that on top of it. For all robust fitting methods, the 39 When using Mallows or Huber type robust estimators 41 additional test methods. One is the robust quasi-deviance test 45 quadratic approximation of the robust quasi-deviance test 50 robust fitting method using the same tuning constant \eqn{c} (\code{tcc} in [all …]
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/dports/finance/R-cran-PerformanceAnalytics/PerformanceAnalytics/man/ |
H A D | Return.locScaleRob.Rd | 7 Return.locScaleRob(R, alpha.robust = 0.05, normal.efficiency = 0.99, ...) 12 \item{alpha.robust}{Tuning parameter for the robust filter.} 14 \item{normal.efficiency}{Normal efficiency for robust filter.} 22 \code{Return.locScaleRob} returns the data after passing through a robust location and scale filter.
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