/dports/finance/R-cran-gmm/gmm/R/ |
H A D | getModel.R | 281 if (is.null(names(object$tet0))) 287 restTet <- object$tet0[object$eqConst] 288 obj$tet0 <- object$tet0[-object$eqConst] 317 if (is.null(object$tet0)) 367 if (is.null(object$tet0)) 370 k <- length(object$tet0) 378 if(is.null(names(object$tet0))) 467 if (is.null(object$tet0)) 475 tet0 <- c(tet0, colMeans(dat$x[,3:(k+1),drop=FALSE])) 476 names(tet0) <- NULL [all …]
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H A D | gel.R | 363 gel <- function(g, x, tet0 = NULL, gradv = NULL, smooth = FALSE, argument 386 all_args <- list(g = g, x = x, tet0 = tet0, gradv = gradv, smooth = smooth, nameattr 405 evalGel <- function(g, x, tet0, gradv = NULL, smooth = FALSE, argument 424 all_args <- list(g = g, x = x, tet0 = tet0, gradv = gradv, smooth = smooth, nameattr
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H A D | momentEstim.R | 43 tet0 <- .getThetaList(res0$par, dat) functionVar 45 w <- .weightFct_Sys(tet=tet0, dat=dat, type=object$vcov) 57 z$initTheta <- tet0 739 res <- optim(P$tet0, .thetf, P = P, l0Env = l0Env, ...) 741 res <- nlminb(P$tet0, .thetf, P = P, l0Env = l0Env, ...) 744 res <- optimize(.thetf, P$tet0, P = P, l0Env = l0Env, ...) 751 res <- constrOptim(P$tet0, .thetf, grad = NULL, P = P, l0Env = l0Env, ...) 847 res <- optim(P$tet0, .thetf, P = P, l0Env = l0Env, ...) 852 res <- optimize(.thetf, P$tet0, P = P, l0Env = l0Env, ...) 858 res <- constrOptim(P$tet0, .thetf, grad = NULL, P = P,l0Env = l0Env, ...) [all …]
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H A D | ategel.R | 1 ATEgel <- function(g, balm, w=NULL, y=NULL, treat=NULL, tet0=NULL, argument 18 all_args <- list(g = g, x = balm, w=w, y=y, treat=treat, tet0 = tet0, type = type, nameattr
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H A D | Methods.gel.R | 62 argCall$tet0 <- object$coefficients 63 argCall$tet0[which] <- coef
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/dports/finance/R-cran-gmm/gmm/inst/doc/ |
H A D | gmm_with_R.R | 215 tet0 <- c(res_0$coef, var(residuals(res_0)), 0) vector 216 names(tet0) <- c("alpha", "beta", "sigma^2", "gamma") 217 res_rf <- gmm(g6, rf, tet0, control = list(maxit = 1000, reltol = 1e-10)) 246 tet0 <- c(mu = mean(x1), sig = sd(x1)) vector 247 res_el <- gel(g1,x1,tet0) 251 res_et <- gel(g1,x1,tet0,type="ET") 255 res_cue <- gel(g1,x1,tet0,type="CUE") 263 tet0 <- gmm(g4,x=x5t[,4:7],wmatrix="ident")$coef globalVar 264 res <- gel(g4,x=x5t[,4:7],tet0,smooth=TRUE,kernel="Truncated")
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H A D | gmm_with_R.rnw | 594 tet0 <- c(res_0$coef, var(residuals(res_0)), 0) 595 names(tet0) <- c("alpha", "beta", "sigma^2", "gamma") 746 tet0 <- c(mu = mean(x1), sig = sd(x1)) 747 res_el <- gel(g1,x1,tet0) 754 res_et <- gel(g1,x1,tet0,type="ET") 758 res_cue <- gel(g1,x1,tet0,type="CUE") 790 tet0 <- gmm(g4,x=x5t[,4:7],wmatrix="ident")$coef 791 res <- gel(g4,x=x5t[,4:7],tet0,smooth=TRUE,kernel="Truncated") 811 res <- gel(g4,x=dat5[,4:7],tet0,smooth=TRUE,kernel="Truncated", 818 res <- gel(g4,x=dat5[,4:7],tet0,smooth=TRUE, optlam="optim") [all …]
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/dports/finance/R-cran-fBasics/fBasics/R/ |
H A D | builtin-gelGmm.R | 200 function(g,x,tet0,gradv=NULL,smooth=FALSE,type=c("EL","ET","CUE","ETEL"), argument 225 k <- length(tet0) 269 n = nrow(g(tet0,x)) 274 rgmm <- .gmm(g,x,tet0,wmatrix="ident") 335 res <- optim(tet0,thetf,...) 338 res <- optimize(thetf,tet0,...) 343 res <- constrOptim(tet0,thetf,...)
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/dports/finance/R-cran-gmm/gmm/man/ |
H A D | gel.Rd | 12 gel(g, x, tet0 = NULL, gradv = NULL, smooth = FALSE, 22 evalGel(g, x, tet0, gradv = NULL, smooth = FALSE, 34 \item{tet0}{A \eqn{k \times 1} vector of starting values. If the 36 linear case, if tet0=NULL, the 2-step gmm estimator is used as starting
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H A D | ATEgel.Rd | 13 ATEgel(g, balm, w=NULL, y=NULL, treat=NULL, tet0=NULL,momType=c("bal","balSample","ATT"), 46 \item{tet0}{A \eqn{3 \times 1} vector of starting values. If not
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/dports/science/apbs/apbs-pdb2pqr-apbs-1.5-102-g500c1473/apbs/externals/fetk/gamer/src/biom/ |
H A D | ReadWriteMesh.C | 802 int tet0, tet1, tet2; in GemMesh_fromTetgen() local 826 tet0 = tetio.adjtetlist[i*2]-1; in GemMesh_fromTetgen() 828 tet2 = (tet0 == -2) ? tet1 : ((tet1 == -2) ? tet0 : -2); in GemMesh_fromTetgen()
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/dports/finance/R-cran-gmm/gmm/vignettes/ |
H A D | gmm_with_R.rnw | 594 tet0 <- c(res_0$coef, var(residuals(res_0)), 0) 595 names(tet0) <- c("alpha", "beta", "sigma^2", "gamma") 746 tet0 <- c(mu = mean(x1), sig = sd(x1)) 747 res_el <- gel(g1,x1,tet0) 754 res_et <- gel(g1,x1,tet0,type="ET") 758 res_cue <- gel(g1,x1,tet0,type="CUE") 790 tet0 <- gmm(g4,x=x5t[,4:7],wmatrix="ident")$coef 791 res <- gel(g4,x=x5t[,4:7],tet0,smooth=TRUE,kernel="Truncated") 811 res <- gel(g4,x=dat5[,4:7],tet0,smooth=TRUE,kernel="Truncated", 818 res <- gel(g4,x=dat5[,4:7],tet0,smooth=TRUE, optlam="optim") [all …]
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/dports/astro/swe/swisseph-2.10.1/ |
H A D | swevents.c | 274 static int32 get_next_voc(double tet0, int32 iflag, int32 vocmethod, VOC *pvoc, char *serr); 2702 static int32 get_sign_ingress_direct_body(double tet0, int32 ipl, int32 iflag, int32 backward, doub… in get_sign_ingress_direct_body() argument 2706 if (swe_calc(tet0, ipl, iflag, xx, serr) == ERR) in get_sign_ingress_direct_body() 2719 t = tet0; in get_sign_ingress_direct_body() 2782 static int32 get_next_voc(double tet0, int32 iflag, int32 vocmethod, VOC *pvoc, char *serr) in get_next_voc() argument 2792 …if ((retc = get_sign_ingress_direct_body(tet0, SE_MOON, iflag, 0, &(tret[1]), &isign, serr)) == ER… in get_next_voc() 2826 …if ((retc = get_sign_ingress_direct_body(tet0, SE_MOON, iflag, 1, &tingr_prev, &isign, serr)) == E… in get_next_voc()
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/dports/cad/gmsh/gmsh-4.9.2-source/contrib/hxt/tetMesh/src/ |
H A D | HXTSPR.c | 1751 uint64_t tet0 = newTet[adj0/4]; in rebuildMesh() local 1753 setFacetConstraint(mesh, tet0, facet0); in rebuildMesh() 1759 mesh->tetrahedra.neigh[4*tet0 + facet0] = 4*tet1 + facet1; in rebuildMesh() 1760 mesh->tetrahedra.neigh[4*tet1 + facet1] = 4*tet0 + facet0; in rebuildMesh()
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/dports/chinese/scim-tables/scim-tables-0.5.10/tables/zh/ |
H A D | EZ-Big.txt.in | 102639 tet0 藤蘿 102640 tet0 藜藿
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/dports/textproc/scim-table-imengine/scim-tables-0.5.10/tables/zh/ |
H A D | EZ-Big.txt.in | 102639 tet0 藤蘿 102640 tet0 藜藿
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/dports/japanese/scim-tables/scim-tables-0.5.10/tables/zh/ |
H A D | EZ-Big.txt.in | 102639 tet0 藤蘿 102640 tet0 藜藿
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/dports/korean/scim-tables/scim-tables-0.5.10/tables/zh/ |
H A D | EZ-Big.txt.in | 102639 tet0 藤蘿 102640 tet0 藜藿
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