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/dports/math/R-cran-KFAS/KFAS/R/
H A DinternalResids.R62 if(sum(yobs) > 0){
63 L <- ldl(diag(vars[i, yobs], p) + object$P_mu[yobs, yobs, i])
73 if(sum(yobs) > 0){
103 if(sum(yobs) > 0){
104 L <- ldl(object$model$H[yobs, yobs, (t - 1) * tv + 1] - object$V_mu[yobs, yobs, t])
110 res[t, yobs][!pos & res[t, yobs] != 0] <- NA
116 if(sum(yobs) > 0){
134 if(sum(yobs) > 0){
135 L <- ldl(diag(vars[t,yobs], p) - object$V_mu[yobs,yobs,t])
141 res[t, yobs][!pos & res[t, yobs] != 0] <- NA
[all …]
H A DtransformSSM.R84 yobs <- array(1:p, c(p, n)) functionVar
88 yobs[1:ydims[i], i] <- yobs[!ymiss[, i], i]
90 yobs[(ydims[i] + 1):p, i] <- NA
93 hobs <- yobs[, uniqs, drop = FALSE]
94 storage.mode(yobs) <- storage.mode(hobs) <- storage.mode(hchol) <- "integer"
97 out <- .Fortran(fldlssm, NAOK = TRUE, yt = yt, ydims = ydims, yobs = yobs,
/dports/math/R-cran-KFAS/KFAS/src/
H A Dldlssm.f9010 integer, intent(in), dimension(p,n) :: yobs local
62 … cholhelp(1:ydimt(t),1:ydimt(t)) = ichols(yobs(1:ydimt(t),t),yobs(1:ydimt(t),t),hchol(t))
63 zhelp(1:ydimt(t),:) = zt(yobs(1:ydimt(t),t),:,(t-1)*timevar(1)+1)
66 zt(yobs(1:ydimt(t),t),:,(t-1)*timevar(1)+1) = zhelp(1:ydimt(t),:)
72 … cholhelp(1:ydimt(t),1:ydimt(t)) = ichols(yobs(1:ydimt(t),t),yobs(1:ydimt(t),t),hchol(t))
73 yhelp(1:ydimt(t)) = yt(yobs(1:ydimt(t),t),t)
75 yt(yobs(1:ydimt(t),t),t) = yhelp(1:ydimt(t))
H A Ddeclarations.h3 void F77_NAME(ldlssm)(double *yt, int *ydimt, int *yobs, int *timevar, double *zt,
/dports/math/R-cran-LearnBayes/LearnBayes/R/
H A Dpredplot.R1 predplot=function(prior,n,yobs) argument
8 ", yobs=",yobs),lwd=2,col="blue")
9 points(yobs,0,pch=19,cex=2.5,col="red")
10 text(yobs,m/8,"yobs",col="red")}
/dports/math/R-cran-LearnBayes/LearnBayes/man/
H A Dpredplot.Rd9 predplot(prior,n,yobs)
14 \item{yobs}{observed number of successes}
22 yobs=10 # observed number of successes
23 predplot(prior,n,yobs)
/dports/math/R-cran-LearnBayes/LearnBayes/demo/
H A DChapter.3.3.R6 yobs=1; ex=66 globalVar
14 lambdaA = rgamma(1000, shape = alpha + yobs, rate = beta + ex)
16 ex = 1767; yobs=4 globalVar
23 lambdaB = rgamma(1000, shape = alpha + yobs, rate = beta + ex)
/dports/math/py-pymc3/pymc-3.11.4/pymc3/tests/
H A Dtest_ode.py183 yobs = np.array(
191 assert integrated_solution.shape == yobs.shape
197 y = pm.Normal("y", mu=forward, sd=1, observed=yobs)
277 yobs = np.array(
288 y = pm.Lognormal("y", mu=pm.math.log(forward), sd=sigma, observed=yobs)
305 yobs = np.array(
317 y = pm.Lognormal("y", mu=pm.math.log(forward), sd=sigma, observed=yobs)
336 yobs = np.array(
358 y = pm.Lognormal("y", mu=pm.math.log(forward), sd=sigma, observed=yobs)
375 yobs = np.array(
[all …]
/dports/science/dynare/dynare-4.6.4/matlab/gsa/
H A Dfilt_mc_.m180 yobs = transpose( ahat(jxj,:));% + kron(ys_mode(js),ones(1,gend))); variable
181 rmse_mode = sqrt(mean((yobs(istart:end,:)-y0(istart:end,:)).^2));
182 r2_mode = 1-sum((yobs(istart:end,:)-y0(istart:end,:)).^2)./sum(yobs(istart:end,:).^2);
193 yobs=-yss;
198 … yobs(:,:,nbb+1:nbb+nb)=yobs(:,:,nbb+1:nbb+nb)+reshape(stock(js,1:gend,:),[length(js) gend nb]);
206 rmse_MC(j,:) = sqrt(mean((yobs(:,istart:end,j)'-y0(:,istart:end,j)').^2));
207 …r2_MC(j,:) = 1-mean((yobs(:,istart:end,j)'-y0(:,istart:end,j)').^2)./mean((yobs(:,istart:end,j)').…
212 yobs = transpose( ahat(jxj,:));% + kron(ys_mean(js),ones(1,gend))); variable
213 rmse_pmean = sqrt(mean((yobs(istart:end,:)-y0(istart:end,:)).^2));
214 … r2_pmean = 1-mean((yobs(istart:end,:)-y0(istart:end,:)).^2)./mean(yobs(istart:end,:).^2);
/dports/math/R-cran-lme4/lme4/inst/doc/
H A Dlmer.Rnw965 \bm W^{1/2}(\yobs - \bm o) \\
1068 \frac{f_{\mc Y , \mc U}(\yobs,\bm u)}{f_{\mc Y}(\yobs)} , \\
1073 f_{\mc Y}(\yobs) =
1079 \mc L(\bm\theta,\bm\beta,\sigma^2 | \yobs) = \log f_{\mc Y}(\yobs).
1087 f_{\mc Y}(\yobs) =
1112 f_{\mc Y}(\yobs) =
1127 \exp\mc L(\bm\theta,\bm\beta,\sigma^2 | \yobs) = f_{\mc Y}(\yobs) =
1282 \begin{bmatrix}\bm X\trans\yobs/\sigma^2\\\bm Z\trans\yobs/\sigma^2
1299 \begin{bmatrix}\bm Z\trans\yobs\\\bm X\trans\yobs\end{bmatrix} \quad .
1647 = \yobs}$.
[all …]
/dports/math/R-cran-lme4/lme4/vignettes/
H A Dlmer.Rnw965 \bm W^{1/2}(\yobs - \bm o) \\
1068 \frac{f_{\mc Y , \mc U}(\yobs,\bm u)}{f_{\mc Y}(\yobs)} , \\
1073 f_{\mc Y}(\yobs) =
1079 \mc L(\bm\theta,\bm\beta,\sigma^2 | \yobs) = \log f_{\mc Y}(\yobs).
1087 f_{\mc Y}(\yobs) =
1112 f_{\mc Y}(\yobs) =
1127 \exp\mc L(\bm\theta,\bm\beta,\sigma^2 | \yobs) = f_{\mc Y}(\yobs) =
1282 \begin{bmatrix}\bm X\trans\yobs/\sigma^2\\\bm Z\trans\yobs/\sigma^2
1299 \begin{bmatrix}\bm Z\trans\yobs\\\bm X\trans\yobs\end{bmatrix} \quad .
1647 = \yobs}$.
[all …]
/dports/math/octave-forge-statistics/statistics-1.4.3/install-conditionally/base/
H A Dquantile.m362 %! yobs = quantile (x, p, dim);
364 %! assert (yobs, yexp);
/dports/math/octave/octave-6.4.0/scripts/statistics/
H A Dquantile.m376 %! yobs = quantile (x, p, dim);
378 %! assert (yobs, yexp);
/dports/math/octave-forge-stk/stk/inst/misc/mole/quantile/
H A Dquantile.m341 %! yobs = quantile (x, p, dim);
343 %! assert (isequal (yobs, yexp));
/dports/science/py-GPy/GPy-1.10.0/GPy/models/
H A Dstate_space.py242 yobs = y[0:self.num_data,j:j+1] + np.sqrt(self.sigma2)*np.random.randn(self.num_data,1)
243 (m2,V2) = self.predict_raw(X,Ynew=yobs)
/dports/science/code_saturne/code_saturne-7.1.0/src/atmo/
H A Dcs_at_opt_interp.c353 cs_real_t yobs = ms->coords[ii*3 + 1]; in _p1_projection() local
362 +cs_math_sq(yobs - y) in _p1_projection()
/dports/textproc/en-aspell/aspell6-en-2020.12.07-0/doc/
H A DSCOWL-README113 turbocharges twitchiest yobs
/dports/textproc/link-grammar/link-grammar-5.8.0/data/en/words/
H A Dwords.n.2.s11735 yobs.n
/dports/net-im/telegram-desktop/tdesktop-3.2.5-full/Telegram/ThirdParty/hime/data/
H A Dhangul-roman.cin15108 yobs 욦
/dports/chinese/gcin/gcin-2.9.0/data/
H A Dhangul.cin16076 yobs 욦
/dports/chinese/gcin-gtk3/gcin-2.9.0/data/
H A Dhangul.cin16076 yobs 욦
/dports/chinese/gcin-qt5/gcin-2.9.0/data/
H A Dhangul.cin16076 yobs 욦
/dports/chinese/scim-tables/scim-tables-0.5.10/tables/ko/
H A DHangulRomaja.txt.in15150 yobs 욦
/dports/textproc/scim-table-imengine/scim-tables-0.5.10/tables/ko/
H A DHangulRomaja.txt.in15150 yobs 욦
/dports/japanese/scim-tables/scim-tables-0.5.10/tables/ko/
H A DHangulRomaja.txt.in15150 yobs 욦

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