/dports/net/tcpdump/tcpdump-4.99.1/tests/ |
H A D | ntp-time--vv.out | 4 Root Delay: 0.000000, Root dispersion: 0.000000, Reference-ID: (unspec) 14 Root Delay: 0.000320, Root dispersion: 0.036407, Reference-ID: 0x84c707c9
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H A D | ntp-time--vvv.out | 4 Root Delay: 0.000000, Root dispersion: 0.000000, Reference-ID: (unspec) 14 Root Delay: 0.000320, Root dispersion: 0.036407, Reference-ID: 0x84c707c9
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/dports/math/R-cran-VGAM/VGAM/R/ |
H A D | anova.vglm.q | 112 dispersion <- 1 functionVar 147 dispersion = dispersion, 348 df.dispersion <- Inf 354 scale = dispersion, 355 df.scale = df.dispersion) 450 dispersion <- 1 functionVar 451 df.dispersion <- if (dispersion == 1) Inf else min(resdf) 455 scale = dispersion, 456 df.scale = df.dispersion)
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/dports/finance/R-cran-AER/AER/R/ |
H A D | dispersiontest.R | 15 NVAL <- c(dispersion = 1) nameattr 16 EST <- c(dispersion = mean(aux) + 1) nameattr
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/dports/math/R-cran-gss/gss/R/ |
H A D | print.R | 187 " family estimated to be ",format(x$dispersion),")\n\n",sep="") 191 " family taken to be ",format(x$dispersion),")\n\n",sep="") 221 " family taken to be ",format(x$dispersion),")\n\n",sep="") 224 " family estimated to be ",format(x$dispersion),")\n\n",sep="")
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/dports/science/xtb/xtb-6.4.1/src/ |
H A D | read_gfn_param.f90 | 176 xtbData%dispersion%dpar = disp 177 xtbData%dispersion%g_a = 3.0_wp 178 xtbData%dispersion%g_c = 2.0_wp 179 xtbData%dispersion%wf = 6.0_wp 251 call newD4Model(xtbData%dispersion%dispm, xtbData%dispersion%g_a, & 252 & xtbData%dispersion%g_c, p_refq_goedecker) 305 call newD4Model(xtbData%dispersion%dispm, xtbData%dispersion%g_a, & 306 & xtbData%dispersion%g_c, p_refq_gfn2xtb)
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/dports/math/R-cran-statmod/statmod/man/ |
H A D | glmscoretest.Rd | 10 glm.scoretest(fit, x2, dispersion=NULL) 16 \item{dispersion}{the dispersion for the generalized linear model family.} 38 The dispersion parameter is treated as for \code{\link{summary.glm}}. 40 families, for which the dispersion is one.
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/dports/math/R/R-4.1.2/src/library/stats/R/ |
H A D | add.R | 310 dispersion <- if(scale == 0) summary(object, dispersion = NULL)$dispersion else scale functionVar 314 } else dev/dispersion 326 LRT <- if(dispersion == 1) "LRT" else "scaled dev." 335 SC <- if(dispersion == 1) "Rao score" else "scaled Rao sc." 336 dev <- dev/dispersion 543 dispersion <- if (is.null(scale) || scale == 0) functionVar 544 summary(object, dispersion = NULL)$dispersion 550 } else dev/dispersion 562 LRT <- if(dispersion == 1) "LRT" else "scaled dev." 569 SC <- if(dispersion == 1) "Rao score" else "scaled Rao sc." [all …]
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/dports/math/libRmath/R-4.1.1/src/library/stats/R/ |
H A D | add.R | 310 dispersion <- if(scale == 0) summary(object, dispersion = NULL)$dispersion else scale functionVar 314 } else dev/dispersion 326 LRT <- if(dispersion == 1) "LRT" else "scaled dev." 335 SC <- if(dispersion == 1) "Rao score" else "scaled Rao sc." 336 dev <- dev/dispersion 543 dispersion <- if (is.null(scale) || scale == 0) functionVar 544 summary(object, dispersion = NULL)$dispersion 550 } else dev/dispersion 562 LRT <- if(dispersion == 1) "LRT" else "scaled dev." 569 SC <- if(dispersion == 1) "Rao score" else "scaled Rao sc." [all …]
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/dports/science/dalton/dalton-66052b3af5ea7225e31178bf9a8b031913c72190/DALTON/Doc/ |
H A D | ccqr.tex | 12 \index{dispersion coefficients} 26 \item dispersion coefficients $D_{ABC}(n,m)$ for third-order properties, 34 Note that dispersion coefficients for third-order properties 38 %For dispersion coefficients also a citation of 49 For dispersion coefficients use the keyword \Key{DISPCF}. 86 Calculate the dispersion coefficients 88 \index{dispersion coefficients}
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H A D | cclr.tex | 12 \index{dispersion coefficients} 28 \item dispersion coefficients $D_{AB}(n)$ for $\alpha_{AB}(\omega)$ 31 In addition to the dispersion coefficients for $n \ge 0$ 42 Coupled cluster linear response functions and dispersion coefficients 47 %For dispersion coefficients also a citation of Ref.\ \cite{Haettig:CAUCHY} 63 \item CC3 dispersion coefficients: F.~Pawlowski, P.~J{\o}rgensen, and C.~H\"{a}ttig \newblock {\em … 125 Calculate the dispersion coefficients
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/dports/science/tinker/tinker/params/ |
H A D | water21.prm | 69 damped dispersion, and anisotropic repulsion as per the papers below. The 138 dispersion 1 16.11930 4.28982 139 dispersion 2 3.68130 5.21764
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/dports/net/tcpview/tcpview-1.0/ |
H A D | print-ntp.c | 145 TCHECK(bp->dispersion, sizeof(bp->dispersion)); 147 p_sfix(&bp->dispersion);
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/dports/graphics/povray37/povray-3.7.0.10/distribution/include/ |
H A D | ior.inc | 8 // Description: This file contains constants for ior and dispersion of various materials. 45 // dispersion, so I suggest using nD, if only for simplicity. 57 // PoV-ray characterizes dispersion as the quotient of refractive indices for "violet" and "red"… 60 // Approximating the PoV-ray "dispersion" value from the Abbe number is not so straightforward t… 62 // Approximating the PoV-ray "dispersion" value from individual wavelengths is again an easy tas… 74 // Formula to approximate PoV-ray's "dispersion" value 77 …disp) { 1+disp/(ri-disp/2) } // from refractive index ri (=nD) and nominal dispersion disp (=nG-nB) 107 …he POV values are computed here directly from the refractive index and dispersion values found in … 199 // Note: For these, I found information on refractive indices but none about dispersion
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/dports/math/R-cran-geepack/geepack/R/ |
H A D | geeglm-anova.R | 92 function (object, ..., dispersion = NULL, test = NULL) argument 120 anova.geeglm<-function (object, ..., dispersion = NULL, test = NULL) argument 135 return(anova.geeglmlist(c(list(object), dotargs), dispersion = dispersion, nameattr
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/dports/math/R-cran-robustbase/robustbase/man/ |
H A D | predict.glmrob.Rd | 12 dispersion = NULL, terms = NULL, na.action = na.pass, \dots) 31 \item{dispersion}{the dispersion of the GLM fit to be assumed in 52 dispersion used in computing the standard errors.}
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/dports/science/afni/afni-AFNI_21.3.16/src/matlab/ |
H A D | spm_bf.m | 43 % p(3) - dispersion of response 1 44 % p(4) - dispersion of undershoot 1 X
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H A D | spm_hrf.m | 11 % p(3) - dispersion of response 1 12 % p(4) - dispersion of undershoot 1
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/dports/science/openems/openEMS-0.0.35-71-g4c24b6e/python/doc/Tutorials/ |
H A D | CRLH_Extraction.rst | 38 :alt: CRLH unit cell dispersion diagram 40 CRLH unit cell dispersion diagram
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/dports/math/R-cran-VGAM/VGAM/man/ |
H A D | summaryvglm.Rd | 12 summaryvglm(object, correlation = FALSE, dispersion = NULL, 31 \item{dispersion}{ 149 dispersion is estimated or known 153 % (It is possible that the dispersion is 174 % The dispersion of a GLM is not used in the fitting process, but it is 176 % If \code{dispersion} is not supplied or \code{NULL}, 177 % the dispersion is taken as \code{1} for the \code{binomial} and 294 % dispersion = NULL, digits = NULL,
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/dports/science/dynare/dynare-4.6.4/tests/identification/LindeTrabandt/ |
H A D | LindeTrabandt2019_xfail.mod | 36 pstar ${p^\ast}$ (long_name='price dispersion') 43 delta1 ${\Delta_1}$ (long_name='price dispersion 1') 44 delta2 ${\Delta_2}$ (long_name='price dispersion 2') 45 delta3 ${\Delta_3}$ (long_name='price dispersion 3') 203 [name='overall price dispersion'] 206 [name='price dispersion 1'] 209 [name='price dispersion 2'] 212 [name='price dispersion 3']
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/dports/science/elk/elk-7.2.42/examples/phonons-superconductivity/Si-DFPT/ |
H A D | elk.in | 2 ! Phonon dispersion of silicon. 49 ! These are the vertices to be joined for the phonon dispersion plot
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/dports/net/ntp/ntp-4.2.8p15/ntpd/ |
H A D | refclock_datum.c | 499 double dispersion; in datum_pts_receive() local 715 dispersion = DATUM_DISPERSION; /* set the dispersion to 0 */ in datum_pts_receive() 716 ftimerr = dispersion; in datum_pts_receive() 719 printf("dispersion = %d, %f\n", dispersion, ftimerr); in datum_pts_receive()
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/dports/math/R/R-4.1.2/src/library/stats/man/ |
H A D | sigma.Rd | 50 \eqn{sigma^2} (\code{sigma(.)^2}) is called \dQuote{dispersion 95 summary(glm.D93)$dispersion # == 1 96 ## and the *Quasi*poisson's dispersion 99 summary(glm.qD93)$dispersion # == 1.2933
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/dports/math/libRmath/R-4.1.1/src/library/stats/man/ |
H A D | sigma.Rd | 50 \eqn{sigma^2} (\code{sigma(.)^2}) is called \dQuote{dispersion 95 summary(glm.D93)$dispersion # == 1 96 ## and the *Quasi*poisson's dispersion 99 summary(glm.qD93)$dispersion # == 1.2933
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