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/dports/science/dalton/dalton-66052b3af5ea7225e31178bf9a8b031913c72190/basis/ecp_data/
H A Dpe_pp12 $ H, fitted from He
23 $ He, fitted from He
34 $ Li, fitted from Ne
47 $ Be, fitted from Ne
60 $ B, fitted from Ne
73 $ C, fitted from Ne
86 $ N, fitted from Ne
99 $ O, fitted from Ne
112 $ F, fitted from Ne
190 $ P, fitted from Ar
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/dports/math/R-cran-forecast/forecast/man/
H A Dfitted.Arima.Rd4 \name{fitted.ARFIMA}
5 \alias{fitted.ARFIMA}
6 \alias{fitted.Arima}
7 \alias{fitted.forecast_ARIMA}
8 \alias{fitted.ar}
9 \alias{fitted.bats}
10 \alias{fitted.ets}
11 \alias{fitted.modelAR}
12 \alias{fitted.nnetar}
13 \alias{fitted.tbats}
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/dports/finance/R-cran-fGarch/fGarch/man/
H A Dmethods-fitted.Rd1 \name{fitted-methods}
7 \alias{fitted-methods}
8 \alias{fitted,ANY-method}
17 Extracts fitted values from a fitted GARCH object.
84 ## fitted -
86 fitted = fitted(fit)
87 head(fitted)
88 class(fitted)
92 fitted = slot(fit, "fitted")
93 head(fitted)
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/dports/math/R-cran-forecast/forecast/tests/testthat/
H A Dtest-refit.R12 expect_false(identical(fit$fitted, refit$fitted))
18 expect_true(all.equal(fit$fitted, refit_same$fitted))
28 expect_false(identical(fit$fitted, refit$fitted))
35 expect_true(identical(fit$fitted, refit_same$fitted))
43 expect_false(identical(fit$fitted, refit$fitted))
49 expect_true(identical(fit$fitted, refit_same$fitted))
58 expect_false(identical(fit$fitted, refit$fitted))
63 expect_true(identical(fit$fitted, refit_same$fitted))
72 expect_false(identical(fit$fitted, refit$fitted))
116 expect_false(identical(fit$fitted, refit$fitted))
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H A Dtest-hfitted.R7 h1 <- fitted(mod1, h = 1)
8 h2 <- fitted(mod1, h = 2)
16 h1 <- fitted(mod2, h = 1)
17 h2 <- fitted(mod2, h = 2)
22 h1 <- fitted(mod3, h = 1)
23 h2 <- fitted(mod3, h = 2)
40 h1 <- fitted(mod5, h = 1)
41 h2 <- fitted(mod5, h = 2)
/dports/math/R/R-4.1.2/src/library/stats/man/
H A Dfitted.values.Rd1 % File src/library/stats/man/fitted.values.Rd
6 \name{fitted}
9 fitted(object, \dots)
10 fitted.values(object, \dots)
12 \alias{fitted.values}
13 \alias{fitted}
14 \alias{fitted.default}
21 \code{fitted} is a generic function which extracts fitted values from
22 objects returned by modeling functions. \code{fitted.values} is an
26 should provide a \code{fitted} method. (Note that the generic is
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/dports/math/libRmath/R-4.1.1/src/library/stats/man/
H A Dfitted.values.Rd1 % File src/library/stats/man/fitted.values.Rd
6 \name{fitted}
9 fitted(object, \dots)
10 fitted.values(object, \dots)
12 \alias{fitted.values}
13 \alias{fitted}
14 \alias{fitted.default}
21 \code{fitted} is a generic function which extracts fitted values from
22 objects returned by modeling functions. \code{fitted.values} is an
26 should provide a \code{fitted} method. (Note that the generic is
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/dports/math/apache-commons-math/commons-math3-3.6.1-src/src/test/java/org/apache/commons/math3/optimization/fitting/
H A DHarmonicFitterTest.java69 final double[] fitted = fitter.fit(); in testNoError() local
70 Assert.assertEquals(a, fitted[0], 1.0e-13); in testNoError()
71 Assert.assertEquals(w, fitted[1], 1.0e-13); in testNoError()
74 HarmonicOscillator ff = new HarmonicOscillator(fitted[0], fitted[1], fitted[2]); in testNoError()
96 final double[] fitted = fitter.fit();
97 Assert.assertEquals(a, fitted[0], 7.6e-4);
98 Assert.assertEquals(w, fitted[1], 2.7e-3);
133 Assert.assertEquals(a, fitted[0], 1.2e-3);
134 Assert.assertEquals(w, fitted[1], 3.3e-3);
175 final double[] fitted = fitter.fit();
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/dports/math/apache-commons-math/commons-math3-3.6.1-src/src/test/java/org/apache/commons/math3/fitting/
H A DHarmonicFitterTest.java53 final double[] fitted = fitter.fit(); in testNoError() local
54 Assert.assertEquals(a, fitted[0], 1.0e-13); in testNoError()
55 Assert.assertEquals(w, fitted[1], 1.0e-13); in testNoError()
58 HarmonicOscillator ff = new HarmonicOscillator(fitted[0], fitted[1], fitted[2]); in testNoError()
80 final double[] fitted = fitter.fit();
81 Assert.assertEquals(a, fitted[0], 7.6e-4);
82 Assert.assertEquals(w, fitted[1], 2.7e-3);
117 Assert.assertEquals(a, fitted[0], 1.2e-3);
118 Assert.assertEquals(w, fitted[1], 3.3e-3);
159 final double[] fitted = fitter.fit();
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H A DHarmonicCurveFitterTest.java53 final double[] fitted = fitter.fit(points.toList()); in testNoError() local
54 Assert.assertEquals(a, fitted[0], 1.0e-13); in testNoError()
55 Assert.assertEquals(w, fitted[1], 1.0e-13); in testNoError()
58 final HarmonicOscillator ff = new HarmonicOscillator(fitted[0], fitted[1], fitted[2]); in testNoError()
78 final double[] fitted = fitter.fit(points.toList());
79 Assert.assertEquals(a, fitted[0], 7.6e-4);
80 Assert.assertEquals(w, fitted[1], 2.7e-3);
116 Assert.assertEquals(a, fitted[0], 1.2e-3);
117 Assert.assertEquals(w, fitted[1], 3.3e-3);
158 Assert.assertEquals(a, fitted[0], 7.6e-4);
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/dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/base/tests/
H A Dtest_predict.py22 fitted = res.fittedvalues.iloc[1:10:2]
25 pdt.assert_index_equal(pred.index, fitted.index)
63 fitted = res.fittedvalues.iloc[1:10:2]
67 assert_allclose(pred, fitted.values, rtol=1e-13)
74 pdt.assert_index_equal(pred.index, fitted.index)
124 fitted = res.fittedvalues.iloc[1:10:2]
125 offset = np.arange(len(fitted))
126 fitted = fitted + offset
129 pdt.assert_index_equal(pred.index, fitted.index)
142 pdt.assert_index_equal(pred.index, fitted.index)
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/dports/math/R-cran-VGAM/VGAM/man/
H A Dfittedvlm.Rd3 \alias{fitted.values.vlm}
14 fittedvlm(object, drop = FALSE, type.fitted = NULL,
37 \item{type.fitted}{
96 generic function \code{fitted.values}.
110 \code{\link[stats]{fitted}},
120 fitted(fit1)
126 head(fitted(fit2))
135 head(fitted(fit3, type.fitted = "mean" )) # E(Y), which is the default
136 head(fitted(fit3, type.fitted = "pobs0")) # P(Y = 0)
137 head(fitted(fit3, type.fitted = "pstr0")) # Prob of a structural 0
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/dports/math/R-cran-NMF/NMF/man/
H A Dfitted.Rd2 \name{fitted}
3 \alias{fitted}
4 \alias{fitted-methods}
5 \alias{fitted,NMFfit-method}
6 \alias{fitted,NMF-method}
7 \alias{fitted,NMFns-method}
8 \alias{fitted,NMFOffset-method}
9 \alias{fitted,NMFstd-method}
12 fitted(object, ...)
14 \S4method{fitted}{NMFstd}(object, W, H, ...)
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/dports/math/R-cran-sm/sm/inst/scripts/
H A Dbissell3.q18 glm.fitted<- beta*X
21 sm.fitted <- ((W %*% Y)/denom)*X
22 disp <- dev(Y,sm.fitted)/(length(Y)-1)
23 ts.orig <- (dev(Y,glm.fitted)-dev(Y,sm.fitted))/disp
29 yboot<-rpois(length(glm.fitted),glm.fitted)
30 sm.fitted <- ((W %*% yboot)/denom)*X
31 disp <- dev(yboot,sm.fitted)/(length(yboot)-1)
32 ts.boot <- (dev(yboot,glm.fitted)-dev(yboot,sm.fitted))/disp
34 lines(X, sm.fitted, lty=2,col=6)
/dports/science/py-segregation/segregation-2.1.0/segregation/batch/
H A Dbatch_compute.py59 fitted = {}
65 fitted[each] = singlegroup_classes[each](
74 fitted = pd.DataFrame.from_dict(fitted, orient="index").round(4)
75 fitted.columns = ["Statistic"]
76 fitted.index.name = "Name"
77 return fitted
97 fitted = {}
100 fitted = pd.DataFrame.from_dict(fitted, orient="index").round(4)
101 fitted.columns = ["Statistic"]
102 fitted.index.name = "Name"
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/dports/finance/R-cran-vars/vars/man/
H A Dfitted.Rd1 \name{fitted}
3 \alias{fitted}
5 \alias{fitted.values}
7 \alias{fitted.varest}
9 \alias{fitted.vec2var}
16 Returns the fitted values of a VAR(p)-model for objects generated by
18 the fitted.values-method is applied to the list element
23 \method{fitted}{varest}(object, ...)
24 \method{fitted}{vec2var}(object, ...)
51 fitted(var.2c)
/dports/math/mlpack/mlpack-3.4.2/src/mlpack/core/dists/
H A Dregression_distribution.cpp29 arma::rowvec fitted; in Train() local
30 lr.Predict(observations.rows(1, observations.n_rows - 1), fitted); in Train()
31 err.Train(observations.row(0) - fitted); in Train()
51 arma::rowvec fitted; in Train() local
52 lr.Predict(observations.rows(1, observations.n_rows - 1), fitted); in Train()
53 err.Train(observations.row(0) - fitted, weights.t()); in Train()
63 arma::rowvec fitted; in Probability() local
64 rf.Predict(observation.rows(1, observation.n_rows-1), fitted); in Probability()
65 return err.Probability(observation(0)-fitted.t()); in Probability()
/dports/finance/R-cran-gmm/gmm/man/
H A Dfitted.Rd1 \name{fitted}
2 \alias{fitted.gel}
3 \alias{fitted.gmm}
6 …Method to extract the fitted values of the model estimated by \code{\link{gel}} or \code{\link{gmm…
9 \method{fitted}{gel}(object, ...)
10 \method{fitted}{gmm}(object, ...)
14 \item{...}{Other arguments when \code{fitted} is applied to an other class object}
18 …rns a matrix of the estimated mean \eqn{\hat{y}} in \code{g=y~x} as it is done by \code{fitted.lm}.
41 lines(fitted(res), col = 2)
55 lines(x, fitted(res), col = 2)
/dports/math/R-cran-gss/gss/man/
H A Dfitted.ssanova.Rd1 \name{fitted.ssanova}
2 \alias{fitted.ssanova}
4 \alias{fitted.gssanova}
8 Methods for extracting fitted values and residuals from smoothing
12 \method{fitted}{ssanova}(object, ...)
15 \method{fitted}{gssanova}(object, ...)
25 The fitted values for \code{"gssanova"} objects are on the link
/dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/examples/
H A Dex_emplike_2.py25 fitted = elmodel.fit() variable
30 test0_1 = fitted.el_test(np.array([0]), np.array([0]))
34 test1 = fitted.el_test(np.array([4]), np.array([3]))
38 test2 = fitted.el_test(np.array([3, 4]), np.array([2, 3]))
43 ci_beta1 = fitted.conf_int_el(1)
48 print(fitted.rsquared)
50 print(fitted.params)
H A Dtry_polytrend.py25 fitted = [sm.OLS(gdp, exog[:, :maxr]).fit().fittedvalues for maxr in variable
34 plt.plot(fitted[i])
40 plt.plot(gdp - fitted[i])
45 plt.plot(fitted[-1], lw=2, color='r')
46 plt.plot(fitted[0], lw=2, color='g')
50 plt.plot(gdp - fitted[-1], lw=2, color='r')
51 plt.plot(gdp - fitted[0], lw=2, color='g')
/dports/math/R-cran-Zelig/Zelig/man/
H A Dfitted-Zelig-method.Rd3 \name{fitted,Zelig-method}
4 \alias{fitted,Zelig-method}
5 \title{Method for extracting estimated fitted values from Zelig objects}
7 \S4method{fitted}{Zelig}(object, ...)
12 \item{...}{Additional parameters to be passed to fitted}
15 Method for extracting estimated fitted values from Zelig objects
/dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/nonparametric/
H A Dsmoothers_lowess_old.py104 fitted = np.zeros(n)
112 fitted, weights = _lowess_initial_fit(x_copy, y_copy, k, n)
115 _lowess_robustify_fit(x_copy, y_copy, fitted,
118 out = np.array([x_copy, fitted]).T
154 fitted = np.zeros(n)
171 fitted[i] = beta[0] + beta[1]*x_copy[i]
176 return fitted, weights
204 def _lowess_robustify_fit(x_copy, y_copy, fitted, weights, k, n): argument
237 residual_weights -= fitted
256 fitted[i] = beta[0] + beta[1] * x_copy[i]
/dports/finance/R-cran-quantmod/quantmod/man/
H A DfittedModel.Rd10 \alias{fitted.values.quantmod}
11 \alias{fitted.quantmod}
17 Extract and replace fitted models from
19 \code{buildModel}. All objects fitted
39 \method{fitted.values}{quantmod}(object, \dots)
41 \method{fitted}{quantmod}(object, \dots)
55 Most often used to extract the final fitted
60 Most common methods to apply to fitted objects
64 calling directly on the fitted object.
68 a fitted model to an object. This
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/dports/math/R-cran-pbkrtest/pbkrtest/inst/doc/
H A Dcoercion.R52 max(abs(fitted(new1) - fitted(mod1))) < eps
53 max(abs(fitted(new0a) - fitted(mod0))) < eps
54 max(abs(fitted(new0b) - fitted(mod0))) < eps

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