/dports/devel/R-cran-gmodels/gmodels/R/ |
H A D | estimable.R | 53 vcv <- rho * outer(cf[, 2], cf[, 2]) functionVar 70 vcv <- summary.lm(obj)$cov.unscaled * summary.lm(obj)$sigma^2 74 vcv <- summary(obj)$cov.scaled 91 vcv <- obj$vbeta 98 vcv <- obj$robust.variance 115 vc <- sqrt(diag(cm %*% vcv %*% t(cm))) 180 vcv <- obj$vbeta functionVar 185 vcv <- obj$robust.variance 191 vcv <- summary(obj)$cov.scaled 201 vcv <- rho * outer(se, se) [all …]
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/dports/math/apache-commons-math/commons-math3-3.6.1-src/src/main/java/org/apache/commons/math3/stat/regression/ |
H A D | SimpleRegression.java | 780 …final double[] vcv = new double[] { mse * (xbar * xbar / sumXX + 1.0 / n), -xbar * mse / sumXX, ms… in regress() local 781 …return new RegressionResults(params, new double[][] { vcv }, true, n, 2, sumY, _syy, getSumSquared… in regress() 786 final double[] vcv = new double[] { ybar / (n - 1.0), Double.NaN, Double.NaN }; in regress() local 795 final double[] vcv = new double[] { getMeanSquareError() / sumXX }; in regress() local 800 final double[] vcv = new double[] { Double.NaN }; in regress() local 845 final double[] vcv = new double[]{ sumYY/(((n-1)*n)) }; in regress() local 848 params, new double[][]{vcv}, true, n, 1, in regress() 858 final double[] vcv = new double[]{ _mse / _sxx }; in regress() local 861 params, new double[][]{vcv}, true, n, 1, in regress() 864 final double[] vcv = new double[]{Double.NaN }; in regress() local [all …]
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/dports/science/R-cran-Epi/Epi/R/ |
H A D | ci.lin.R | 207 vcv <- VCOV( obj ) functionVar 210 if( any( is.na( vcv ) ) ) vcv[is.na(vcv)] <- 0 272 vcv <- vcov( obj, complete=FALSE )[wh,wh] 273 vcv[is.na( vcv )] <- 0 274 names( cf ) <- rownames( vcv ) <- colnames( vcv ) <- 279 vcv <- vcv[subset,subset] 283 vcv <- vcv[subset,subset] 305 vcv <- vcv[subset,subset] 323 res <- ctr.mat %*% t( rbind(mvrnorm( sample, cf, vcv )) ) 328 vc <- ctr.mat %*% vcv %*% t( ctr.mat )
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H A D | ci.cum.R | 13 vcv <- VCOV( obj ) functionVar 44 vcv <- vcv[subset,subset] 59 vc <- ctr.mat %*% vcv %*% t( ctr.mat )
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/dports/math/gretl/gretl-2021d/share/scripts/misc/ |
H A D | ects_nls.inp | 6 ols y 0 x1 x2 --vcv 16 end nls --vcv 23 end nls --vcv
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H A D | longley.inp | 4 ols 1 0 2 3 4 5 6 7 --vcv
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/dports/math/gretl/gretl-2021d/share/scripts/ramanathan/ |
H A D | ps8-5.inp | 5 ols LNSALARY const YEARS YRS2 --vcv 6 ols LNSALARY const YEARS YRS2 --vcv --jackknife
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H A D | ps4-2.inp | 32 genr tmp = $vcv(Wt,Wt) + $vcv(Pt,Pt) - (2*$vcv(Wt,Pt))
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H A D | ps3-1.inp | 6 # estimate model; --vcv is to get covariance 7 ols 1 0 2 --vcv
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/dports/math/gretl/gretl-2021d/plugin/ |
H A D | heckit.c | 108 gretl_matrix_free(HC->vcv); in h_container_destroy() 154 HC->vcv = NULL; in h_container_new() 1089 if (pmod->vcv != NULL) { in transcribe_2step_vcv() 1090 free(pmod->vcv); in transcribe_2step_vcv() 1099 pmod->vcv = malloc(nvc * sizeof *pmod->vcv); in transcribe_2step_vcv() 1120 pmod->vcv[k++] = vij; in transcribe_2step_vcv() 1216 int npar = HC->vcv->rows; in add_lambda_to_ml_vcv() 1243 gretl_matrix_free(HC->vcv); in add_lambda_to_ml_vcv() 1244 HC->vcv = tmp; in add_lambda_to_ml_vcv() 1263 int npar = HC->vcv->rows; in adjust_ml_vcv_hyperbolic() [all …]
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H A D | mp_ols.c | 720 mpf_t *vcv; in mp_makevcv() local 741 vcv = malloc(nxpx * sizeof *vcv); in mp_makevcv() 742 if (vcv == NULL) { in mp_makevcv() 747 pmod->vcv = malloc(nxpx * sizeof *pmod->vcv); in mp_makevcv() 748 if (pmod->vcv == NULL) { in mp_makevcv() 749 free(vcv); in mp_makevcv() 755 mpf_init(vcv[i]); in mp_makevcv() 806 mpf_clear(vcv[i]); in mp_makevcv() 822 mpf_clear(vcv[k]); in mp_makevcv() 830 free(vcv); in mp_makevcv() [all …]
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H A D | fiml.c | 843 gretl_matrix *vcv; in fiml_get_std_errs() local 851 vcv = gretl_matrix_alloc(ldv, ldv); in fiml_get_std_errs() 852 if (vcv == NULL) { in fiml_get_std_errs() 861 fsys->artb, vcv, NULL, NULL); in fiml_get_std_errs() 864 vcv, NULL, NULL); in fiml_get_std_errs() 874 pmod->sderr[j] = sqrt(gretl_matrix_get(vcv, k, k)); in fiml_get_std_errs() 881 gretl_matrix_replace(&fsys->sys->vcv, vcv); in fiml_get_std_errs() 883 gretl_matrix_free(vcv); in fiml_get_std_errs()
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/dports/science/py-chempy/chempy-0.8.2/chempy/util/ |
H A D | regression.py | 163 beta, vcv, r2 = least_squares(_x, _y, _w) 165 return beta_tup, vcv, float(r2) 217 vcv = SSR / (_x.size - 2) * np.linalg.inv(X.T.dot(X)) 220 return beta, vcv, R2 300 beta, vcv, info = irls(x_ul, y_ul, **kwargs) 302 return beta_tup, vcv, info
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/dports/math/gretl/gretl-2021d/share/scripts/greene/ |
H A D | greene12_1.inp | 6 ols expend 0 age ownrent income inc2 --vcv 8 ols expend 0 age ownrent income inc2 --vcv --jackknife
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/dports/math/gretl/gretl-2021d/addons/gig/ |
H A D | gig_printout.inp | 93 function void GJR_alt_param(matrix coeff, matrix vcv, scalar p, scalar q, 97 matrix v_om = vcv[nmX+1:nmX+nvX, nmX+1:nmX+nvX] 100 matrix v_ag = vcv[nmX+nvX+1:nmX+nvX+2*q, nmX+nvX+1:nmX+nvX+2*q] 103 matrix v_bt = vcv[nmX+nvX+2*q+1:nmX+nvX+2*q+p, nmX+nvX+2*q+1:nmX+nvX+2*q+p] 172 vcv = mod.vcv 259 GJR_alt_param(coeff, vcv, p, q, nmX, nvX, mod.vXnames) 271 What shall we do? Transform the estimated parameter (and vcv) into
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H A D | gig_estimate.inp | 29 mod.vcv = Sigma 70 # distrInit, verbose, vcv)
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H A D | gig_setup.inp | 327 est_done = inbundle(m, "vcv") 330 # "vcv" and "stderr" only active ones; shit, what was I thinking? 333 J2 = ones(rows(m.vcv),1) 351 m.vcv = m.vcv .* (J2*J2') 370 scale accounting (coeff, vcv modification etc) for post-estimation.
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/dports/science/py-chempy/chempy-0.8.2/chempy/util/tests/ |
H A D | test_regression.py | 25 beta, vcv, r2 = least_squares(x, y) 27 assert np.allclose(vcv, 0)
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/dports/math/gretl/gretl-2021d/addons/SVAR/ |
H A D | SVAR_Cfuncs.inp | 82 matrix *vcv[null],\ 90 if exists(vcv) 91 vcv = zeros(n*n,n*n) 188 if exists(vcv) 189 vcv = coeffVCV(Ss[,1:npar], &C)
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H A D | SVAR_main.inp | 14 matrix vcv 44 vcv = coeffVCV(Ss[, 1: cols(Ss)-1], &C) 69 # do estimation; note that vcv is estimated inside "estC" 70 matrix C = estC(¶m, Sigma, fullRd, &vcv, &errcode, meth, verbosity) 84 # do estimation; note that vcv is estimated inside "estAB" 87 matrix C = estAB(¶m, Sigma, aRd, bRd, &vcv, &errcode, meth, \ 97 matrix obj.vcv = coeffVCV(Ss[, 1: cols(Ss)-1], &C) 125 matrix obj.vcv = vcv
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/dports/math/gretl/gretl-2021d/doc/tex/ |
H A D | gretlStata.tex | 47 matrix vcv = e(V) 48 gretl_export vcv "vcv.mat" 51 matrix stata_vcv = mread("vcv.mat", 1)
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/dports/graphics/osg/OpenSceneGraph-OpenSceneGraph-3.6.5/include/osgUtil/ |
H A D | MeshOptimizers | 136 VertexCacheVisitor vcv; 137 node->accept(vcv); 138 vcv.optimizeVertices();
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/dports/math/gretl/gretl-2021d/lib/src/ |
H A D | gretl_model.c | 2488 pmod->vcv = malloc(nxpx * sizeof *pmod->vcv); in gretl_model_new_vcv() 2550 pmod->vcv = tmp; in gretl_model_write_vcv() 2930 VMatrix *vcv; in gretl_model_get_vcv() local 2952 free(vcv); in gretl_model_get_vcv() 2966 free_vmatrix(vcv); in gretl_model_get_vcv() 2975 vcv->vec = copyvec(pmod->vcv, k * (k + 1) / 2); in gretl_model_get_vcv() 2979 free_vmatrix(vcv); in gretl_model_get_vcv() 2984 vcv->dim = k; in gretl_model_get_vcv() 2988 return vcv; in gretl_model_get_vcv() 3605 if (pmod->vcv != NULL) free(pmod->vcv); in clear_model() [all …]
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/dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/tsa/ardl/_pss_critical_values/ |
H A D | pss.py | 48 vcv = np.linalg.inv(xpx) * s2 50 rvcvr = r @ vcv @ r.T
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/dports/math/gretl/gretl-2021d/addons/regls/ |
H A D | regls.inp | 17 function matrix unstdize_vcv (const matrix vcv, scalar sy, 19 return vcv * sy^2 ./ sx'sx 394 if inbundle(ret, "vcv") 395 ret.vcv = unstdize_vcv(ret.vcv, sy, sx) 412 if inbundle(ret, "vcv") && ret.verbosity > 1 413 matrix bse = ret.B ~ (NA | sqrt(diag(ret.vcv)))
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