/dports/math/R-cran-VGAM/VGAM/R/ |
H A D | psv2magic.R | 54 jay <- 0 functionVar 60 jay <- jay + 1 61 perm.list[[jay]] <- 62 matrix(jjoffset + 1:(ncol.X.sm.osps[jay] * ncol.H.ps[jay]), 63 nrow = ncol.X.sm.osps[jay], # Redundant really 64 ncol = ncol.H.ps[jay], byrow = TRUE) 65 jjoffset <- jjoffset + ncol.H.ps[[jay]] * ncol.X.sm.osps[[jay]] 84 for (jay in 1:(ncol.H.ps[ii])) { 85 OFF.list[[ii]][jay] <- vindex.min[ii] + index 86 index <- ncol.X.sm.osps[ii] * jay
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H A D | hdeff.R | 126 Param.mat[, jay] <- 127 Param.vec <- eta2theta(eta.mat[, jay], mylinks[jay], 130 D1thetas.Detas1[, jay] <- 134 D2thetas.Detas2[, jay] <- 141 D3thetas.Detas3[, jay] <- 306 temp1@predictors[, jay] <- temp1@predictors[, jay] + 351 wz[, iam(jay, uuu, M = M)] <- (1 + (jay == uuu)) * nxM[, uuu] 458 dfun2 * (Der1[, jay])^4 + 459 (dwz.dtheta.Der1 / Der1[, jay]) * Der2[, jay] + 460 4 * dfun1 * Der2[, jay] * (Der1[, jay])^2 + [all …]
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H A D | family.nbd.R | 49 for (jay in 1:ncol(y)) { functionVar 52 weighted.mean(y[TFvec, jay], w[TFvec, jay]) + 1/16 69 mu.init[, jay] <- abs(mu.init[, jay]) + 1 / 1024 432 wm.yj <- weighted.mean(y[, jay], w = w[, jay]) 434 negbinomial.initialize.yj(y[, jay], w[, jay], 453 y = y[, jay], w = w[, jay], 1146 weighted.mean(y[, jay], w = w[, jay]) 1153 weighted.mean(y[, jay], w = w[, jay])) 1161 y = y[, jay], w = w[, jay], 1638 weighted.mean(y[, jay], w = w[, jay]) [all …]
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H A D | family.categorical.R | 1333 wz1[, iam(jay, jay, M = M)] <- 1 / (mu[, jay+1])^2 - 1336 wz1[, iam(jay-1, jay-1, M = M)] <- -1 / (mu[, jay ])^2 1338 wz1[, iam(jay+1, jay+1, M = M)] <- 1 / (mu[, jay+1])^2 1340 wz1[, iam(jay, jay+1, M = M)] <- -1 / (mu[, jay+1])^2 1342 wz1[, iam(jay-1, jay, M = M)] <- 1 / (mu[, jay ])^2 1351 wz2[, iam(jay, jay, M = M)] <- 1 / (mu[, jay+1])^3 + 1354 wz2[, iam(jay-1, jay-1, M = M)] <- 1 / (mu[, jay ])^3 1356 wz2[, iam(jay+1, jay+1, M = M)] <- 1 / (mu[, jay+1])^3 1358 wz2[, iam(jay, jay+1, M = M)] <- -1 / (mu[, jay+1])^3 1360 wz2[, iam(jay-1, jay, M = M)] <- -1 / (mu[, jay ])^3 [all …]
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H A D | getxvlmaug.R | 133 for (jay in 1:(ncol.H.sm.osps[ii])) { functionVar 137 pen.set <- mroot2(sqrt(spar.new[[ii]][jay]) * S.arg[[ii]] + 171 jay <- 0 179 jay <- jay + 1 180 ind.x <- iioffset + 1:nrow(pen.new.list[[jay]]) 181 ind.y <- jjoffset + 1:ncol(pen.new.list[[jay]]) 182 Dmat2[ind.x, ind.y] <- pen.new.list[[jay]] 183 iioffset <- iioffset + nrow(pen.new.list[[jay]]) 184 jjoffset <- jjoffset + ncol(pen.new.list[[jay]])
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H A D | family.oneinf.R | 96 aval <- alt.mlm[jay] 172 ival <- inf.mlm[jay] 263 aval <- alt.mlm[jay] 281 ival <- inf.mlm[jay] 294 aval <- alt.mix[jay] 304 aval <- alt.mix[jay] 317 ival <- inf.mix[jay] 324 ival <- inf.mix[jay] 671 aval <- alt.mlm[jay] 746 ival <- inf.mlm[jay] [all …]
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H A D | plot.vglm.R | 44 for (jay in 1:M) { functionVar 45 if (show[jay]) { 46 use.x <- lapred[, jay] 49 plot(use.x, presid[, jay], 52 "L", "inear predictor ", jay, sep = ""), 60 for (jay in 1:M) { 61 if (show[M + jay]) { 62 use.x <- hvmat[, jay] 65 plot(use.x, presid[, jay], 68 "H", "at values for linear predictor ", jay,
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H A D | family.gait.R | 1556 tmp2 <- (-d0B.pi.mlm[, jay]) / Delta.mlm[, jay] 1562 tmp2 <- (-d0B.pi.mlm[, jay] / Delta.mlm[, jay]) 1585 tmp2 <- d1A.a[, jay] / d0A.a[, jay] 1598 tmp2 <- (-d0B.pi.mix[, jay] / Delta.mix[, jay]) 1601 tmp8 <- (d0A.i[, jay] - d0B.pi.mix[, jay]) / Delta.mix[, jay] 1610 tmp2 <- (-d0B.pi.mix[, jay] / Delta.mix[, jay]) 1614 tmp2 <- (-d0B.pi.mix[, jay] / Delta.mix[, jay]) 3617 tmp2 <- d1A.a[, jay] / d0A.a[, jay] 3633 tmp8 <- (d0A.i[, jay] - d0B.pi.mix[, jay]) / Delta.mix[, jay] 5623 tmp2 <- d1A.a[, jay] / d0A.a[, jay] [all …]
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H A D | family.positive.R | 96 (QQQ / (1-prc[, jay])) * dprc.deta[, jay] * X.lm.jay 160 cp1[y[, jay] > 0] <- jay 611 wm.yj <- weighted.mean(y[, jay], w = w[, jay]) 634 y = y[, jay], w = w[, jay], 2040 fv[, jay] <- fv[, jay-1] * (1 - cap.probs) 2470 fv[, jay] <- prc[, jay] * QQQcummat[, jay-1] + 2592 ( y[, jay] / prc[, jay] - 2593 (1 - y[, jay]) / (1 - prc[, jay])) + 2597 dl.dpr[, jay] <- extra$cap.hist1[, jay] * 2598 ( y[, jay] / prr[, jay] - [all …]
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H A D | family.zeroinf.R | 2319 y = y[, jay], w = w[, jay], # x = x, 2323 weighted.mean(y[, jay] == 0, w[, jay]) - 2711 y = y[, jay], x = x, w = w[, jay], 2715 weighted.mean(y[, jay] == 0, w[, jay]) - 4419 wz[sind2, M1*jay] * (1 - AA[sind2, jay]) - 4420 (1-pstr0[sind2, jay]) * (df02.dkmat2[sind2, jay] - 4422 (df0.dkmat[sind2, jay]^2) / AA[sind2, jay]) 4464 df0.dkmat[ii.TF , jay] / AA[ii.TF , jay] 5094 wz[sind2, M1*jay - 1] * (1 - AA[sind2, jay]) - 5097 (df0.dkmat[sind2, jay]^2) / AA[sind2, jay]) [all …]
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H A D | family.others.R | 2242 cAux * alpha[1:(jay + 1)][(jay + 1):1] 2243 alpha[1:(jay + 1)] <- tAux[1:(jay + 1)] 2245 eR <- alpha[1:(jay + 1)][(jay + 1):1] %*% 2249 cAux * eta[1:(jay + 1), ][(jay + 1):1, ] 2254 Aux3 <- matrix(alpha[1:(jay + 1)][(jay + 1):1], 2266 fk <- alpha[1:(jay + 1)] %*% eta[1:(jay + 1), ] 2267 gk <- alpha[1:(jay + 1)][(jay + 1):1] %*% uMat[1:(jay + 1), ] 2272 J[, , jay] + t(eta[1:(jay + 1), ]) %*% psi[1:(jay + 1), ] / 2276 Jp[, , jay + 1] <- J[, , jay + 1] - J[, , jay] 2278 Jp[, , jay + 1][col(Jp[, , jay + 1]) == row(Jp[, , jay + 1])] [all …]
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H A D | family.rcqo.R | 227 for (jay in 1:S) { functionVar 228 optmat <- matrix(optimums[jay, ], nrow = n, ncol = Rank, byrow = TRUE) 229 tolmat <- matrix( Tols[jay, ], nrow = n, ncol = Rank, byrow = TRUE) 232 etamat[, jay] <- etamat[, jay] - 233 0.5 * (latvarmat[, r] - optmat[jay, r]) * temp[, r] 364 for (jay in 1:S) { functionVar 365 optmat <- matrix(optimums[jay, ], n, Rank, byrow = TRUE) 366 tolmat <- matrix( Tols[jay, ], n, Rank, byrow = TRUE) 369 etamat[, jay] <- etamat[, jay] - 0.5 * temp[, r] * 370 (latvarmat[, r] - optmat[jay, r])
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/dports/databases/p5-Mongoose/Mongoose-2.00/t/ |
H A D | traits.t | 25 my $jay = Person->new( name => "Jay", salary=>300 ); 26 isa_ok( $jay->save, 'BSON::OID', 'created, id defined' ); 29 my $jay = Person->find_one({ name=>'Jay' }); 30 ok defined( $jay->age ), 'found ok'; 31 ok !defined( $jay->salary ), 'donotserialize'; 32 isa_ok $jay->date, 'DateTime', 'Type DateTime was inflated'; 33 isa_ok $jay->date_raw, 'BSON::Time', 'Native time is stored as BSON::Time'; 34 is $jay->date->hour, $jay->date_raw->as_datetime->hour, 'expanded dt hour equally'; 37 my $jay = Person->collection->find_one({ name=>'Jay' }); 38 ok !defined( $jay->{salary} ), 'donotserialize mongo ok';
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/dports/lang/mono/mono-5.10.1.57/mcs/class/Mono.CSharp/ |
H A D | Makefile | 26 $(PROFILE)-parser.cs: $(topdir)/mcs/cs-parser.jay $(topdir)/jay/skeleton.cs 27 …$(topdir)/jay/jay -c < $(topdir)/jay/skeleton.cs $< > $(PROFILE)-jay-tmp.out && mv $(PROFILE)-jay-…
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/dports/lang/mono/mono-5.10.1.57/mcs/ilasm/ |
H A D | Makefile | 12 parser/ILParser.jay \ 15 ILParser.cs: parser/ILParser.jay $(topdir)/jay/skeleton.cs 16 $(topdir)/jay/jay -ct < $(topdir)/jay/skeleton.cs $(CURDIR)/$< >$@
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/dports/lang/mono/mono-5.10.1.57/mcs/class/Microsoft.Build/ |
H A D | Makefile | 20 Microsoft.Build.Internal/ExpressionParser.jay \ 28 $(EXPR_PARSER).cs: $(EXPR_PARSER).jay $(topdir)/jay/skeleton.cs 29 …(cd Microsoft.Build.Internal; $(topdir)/../jay/jay -ctv < $(topdir)/../jay/skeleton.cs ExpressionP…
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/dports/lang/mono/mono-5.10.1.57/mcs/class/Commons.Xml.Relaxng/ |
H A D | Makefile | 16 Commons.Xml.Relaxng.Rnc/RncParser.jay \ 24 Commons.Xml.Relaxng.Rnc/RncParser.cs: Commons.Xml.Relaxng.Rnc/RncParser.jay $(topdir)/jay/skeleton.… 25 …$(topdir)/jay/jay -ctv < $(topdir)/jay/skeleton.cs $(CURDIR)/Commons.Xml.Relaxng.Rnc/RncParser.jay…
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/dports/lang/mono/mono-5.10.1.57/mcs/mcs/ |
H A D | Makefile | 14 cs-parser.jay \ 34 %-parser.cs: %-parser.jay $(topdir)/jay/skeleton.cs 35 $(topdir)/jay/jay $(JAY_FLAGS) < $(topdir)/jay/skeleton.cs $< > jay-tmp.out && mv jay-tmp.out $@
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/dports/lang/mono/mono-5.10.1.57/external/api-doc-tools/monodoc/ |
H A D | jay.sh | 8 TEMPFILE=`mktemp jay-tmp.XXXXXX` || exit 1 10 $TOPDIR/jay/jay $FLAGS < $TOPDIR/jay/skeleton.cs $INPUT > $TEMPFILE && mv $TEMPFILE $OUTPUT
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/dports/devel/cssc/CSSC-1.4.1/ |
H A D | ChangeLog.1 | 2 1997-12-26 James Youngman <jay@gnu.org> 69 1997-12-19 James Youngman <jay@gnu.org> 77 1997-12-12 James Youngman <jay@gnu.org> 84 1997-12-11 James Youngman <jay@gnu.org> 89 1997-11-30 James Youngman <jay@gnu.org> 115 Sun Nov 30 14:10:45 1997 James Youngman <jay@gnu.org> 124 Sun Nov 23 12:05:32 1997 James Youngman <jay@gnu.org> 149 Thu Nov 20 21:03:24 1997 James Youngman <jay@gnu.org> 157 Wed Nov 12 00:13:01 1997 James Youngman <jay@gnu.org> 165 Tue Nov 11 22:11:47 1997 James Youngman <jay@gnu.org> [all …]
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/dports/devel/cssc/CSSC-1.4.1/docs/ |
H A D | TODO | 5 2001-07-14 James Youngman <jay@gnu.org> 10 1999-04-05 James Youngman <jay@gnu.org> 16 1998-06-02 James Youngman <jay@gnu.org> 23 1998-04-08 James Youngman <jay@gnu.org> 34 1998-02-08 James Youngman <jay@gnu.org> 41 1998-02-01 James Youngman <jay@gnu.org> 50 1998-01-25 James Youngman <jay@gnu.org> 63 Wed Nov 12 00:00:44 1997 James Youngman <jay@gnu.org> 73 Mon Aug 4 23:33:16 1997 James Youngman <jay@gnu.ai.mit.edu> 81 Sat Jun 28 12:25:12 1997 James Youngman <jay@gnu.ai.mit.edu> [all …]
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/dports/devel/cssc/CSSC-1.4.1/auxfiles/ |
H A D | CSSC.spec.in | 75 * Thu May 6 2010 James Youngman <jay@gnu.org> 83 * Mon Dec 17 2007 James Youngman <jay@gnu.org> 87 * Fri Oct 4 2002 James Youngman <jay@gnu.org> 91 * Sat Jul 14 2001 James Youngman <jay@gnu.org> 96 * Tue Jul 18 2000 James Youngman <jay@gnu.org> 102 * Wed Jun 10 1998 jay@gnu.org <James Youngman> 113 * Sat Feb 21 1998 jay@gnu.org <James Youngman> 116 * Thu Feb 12 1998 jay@gnu.org <James Youngman> 119 * Sat Jan 17 1998 jay@gnu.org <James Youngman>
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/dports/devel/py-sure/sure-1.4.11/tests/ |
H A D | test_assertion_builder.py | 338 jay = Person() 340 assert this(jay).should.have.property("name") 341 assert this(jay).should_not.have.property("age") 347 assert this(jay).should.have.property("age") 368 jay = Person() 393 jay = {'name': "John Doe"} 395 assert this(jay).should.have.key("name") 396 assert this(jay).should_not.have.key("age") 399 assert this(jay).should_not.have.key("name") 402 assert this(jay).should.have.key("age") [all …]
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/dports/lang/gcc48/gcc-4.8.5/libjava/classpath/m4/ |
H A D | acinclude.m4 | 201 dnl Enable regeneration of parsers using jay 202 dnl http://www.informatik.uni-osnabrueck.de/alumni/bernd/jay/ 206 AC_ARG_WITH([jay], 207 [AS_HELP_STRING(--with-jay[=DIR|PATH],Regenerate the parsers with jay)], 209 AC_MSG_CHECKING([whether to regenerate parsers with jay]) 216 JAY_DIR_PATH="/usr/share/jay" 225 AC_MSG_ERROR(jay not found at ${withval}) 229 AC_PATH_PROG(JAY, jay, "no", ${JAY_DIR_PATH}:${PATH}) 231 AC_MSG_ERROR(jay executable not found); 240 AC_MSG_CHECKING([whether to regenerate parsers with jay])
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/dports/devel/mingw32-gcc/gcc-4.8.1/libjava/classpath/m4/ |
H A D | acinclude.m4 | 201 dnl Enable regeneration of parsers using jay 202 dnl http://www.informatik.uni-osnabrueck.de/alumni/bernd/jay/ 206 AC_ARG_WITH([jay], 207 [AS_HELP_STRING(--with-jay[=DIR|PATH],Regenerate the parsers with jay)], 209 AC_MSG_CHECKING([whether to regenerate parsers with jay]) 216 JAY_DIR_PATH="/usr/share/jay" 225 AC_MSG_ERROR(jay not found at ${withval}) 229 AC_PATH_PROG(JAY, jay, "no", ${JAY_DIR_PATH}:${PATH}) 231 AC_MSG_ERROR(jay executable not found); 240 AC_MSG_CHECKING([whether to regenerate parsers with jay])
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