| /dports/math/R-cran-psych/psych/man/ |
| H A D | logistic.Rd | 1 \name{logistic}
2 \alias{logistic}
4 \alias{logistic.grm}
10 logistic(x,d=0, a=1,c=0, z=1)
43 curve(logistic(x),add=TRUE)
47 curve(logistic(x,d=-1),add=TRUE)
48 curve(logistic(x,d=1),add=TRUE)
56 curve(logistic.grm(x,r=2),add=TRUE)
57 curve(logistic.grm(x,r=3),add=TRUE)
58 curve(logistic.grm(x,r=4),add=TRUE)
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| /dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/tsa/regime_switching/tests/ |
| H A D | test_markov_switching.py | 207 logistic = markov_switching._logistic
221 actual = logistic(x)
229 actual = logistic(case)
235 actual = logistic(case)
241 actual = logistic(case)
249 actual = logistic(case)
264 assert_allclose(partials_logistic(x), logistic(x) - logistic(x)**2)
285 evaluated = logistic(case)
292 evaluated = logistic(case)[:, 0]
301 evaluated = logistic(case)
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| /dports/devel/py-pythran/pythran-0.11.0/pythran/pythonic/numpy/random/ |
| H A D | logistic.hpp | 22 types::ndarray<double, pS> logistic(double loc, double scale, in logistic() function
27 [&]() { return logistic(loc, scale); }); in logistic()
31 auto logistic(double loc, double scale, long size) in logistic() function
32 -> decltype(logistic(loc, scale, types::array<long, 1>{{size}})) in logistic()
34 return logistic(loc, scale, types::array<long, 1>{{size}});
37 double logistic(double loc, double scale, types::none_type d) in logistic() function
44 return logistic(loc, scale); in logistic()
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| /dports/lang/retro12/RETRO12-2021.4/example/fsl/ |
| H A D | logistic.forth | 1 \ logistic The Logistic function and its first derivative
2 \ logistic = Exp( c + a x ) / (1 + Exp( c + a x ) )
19 : logistic ( --, f: x a c -- z )
36 \ Examples % 1.0 % 1.0 % 0.0 logistic f. 0.731059
37 \ % 3.2 % 1.5 % 0.2 logistic f. 0.993307
43 :logistic (-,f:xac-z)
61 .1.0 .1.0 .0.0 logistic f:put nl
62 .3.2 .1.5 .0.2 logistic f:put nl
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| /dports/math/py-jax/jax-0.2.9/jax/_src/scipy/stats/ |
| H A D | logistic.py | 22 @_wraps(osp_stats.logistic.logpdf, update_doc=False)
26 @_wraps(osp_stats.logistic.pdf, update_doc=False)
30 @_wraps(osp_stats.logistic.ppf, update_doc=False)
34 @_wraps(osp_stats.logistic.sf, update_doc=False)
38 @_wraps(osp_stats.logistic.isf, update_doc=False)
42 @_wraps(osp_stats.logistic.cdf, update_doc=False)
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| /dports/devel/py-pythran/pythran-0.11.0/pythran/pythonic/include/numpy/random/ |
| H A D | logistic.hpp | 15 types::ndarray<double, pS> logistic(double loc, double scale,
18 auto logistic(double loc, double scale, long size)
19 -> decltype(logistic(loc, scale, types::array<long, 1>{{size}}));
21 double logistic(double loc = 0.0, double scale = 1.0,
24 DEFINE_FUNCTOR(pythonic::numpy::random, logistic);
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| /dports/biology/plink/plink-ng-79b2df8c/2.0/Tests/TEST_PHASED_VCF/ |
| H A D | run_tests.sh | 120 plink --bfile plink1_data --maf 0.02 --pheno pheno_cc.txt --logistic --allow-no-sex --out plink1_glm
122 python3 glm_compare.py -1 plink1_glm.assoc.logistic -2 plink2_glm.PHENO1.glm.logistic -t 0.1
127 plink --bfile plink1_data --maf 0.02 --pheno pheno_cc.txt --logistic genotypic --allow-no-sex --out…
129 python3 glm_compare.py -1 plink1_glm.assoc.logistic -2 plink2_glm.PHENO1.glm.logistic -t 0.1
134 plink --bfile plink1_data --maf 0.02 --pheno pheno_cc.txt --logistic --covar plink1_pca.eigenvec --…
136 python3 glm_compare.py -1 plink1_glm.assoc.logistic -2 plink2_glm.PHENO1.glm.logistic -t 0.1
141 plink --bfile plink1_data --maf 0.02 --pheno pheno_cc.txt --logistic genotypic --covar plink1_pca.e…
143 python3 glm_compare.py -1 plink1_glm.assoc.logistic -2 plink2_glm.PHENO1.glm.logistic -t 0.1
148 plink --bfile plink1_data --maf 0.02 --pheno pheno_cc.txt --logistic --covar plink1_pca.eigenvec --…
150 python3 glm_compare.py -1 plink1_glm.assoc.logistic -2 plink2_glm.PHENO1.glm.logistic -t 0.1
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| /dports/math/R-cran-VGAM/VGAM/man/ |
| H A D | logistic.Rd | 1 \name{logistic}
2 \alias{logistic}
4 \alias{logistic}
8 Estimates the location and scale parameters of the logistic
15 logistic(llocation = "identitylink", lscale = "loglink",
45 The two-parameter logistic distribution has a density that can
58 A logistic distribution with \code{scale = 0.65}
67 \code{logistic} estimates both parameters.
70 \code{logistic}.
73 \code{logistic} can handle multiple responses.
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| /dports/lang/racket/racket-8.3/share/pkgs/math-lib/math/private/distributions/ |
| H A D | logistic-dist.rkt | 14 Logistic-Dist logistic-dist logistic-dist-mean logistic-dist-scale)
68 (define-real-dist: logistic-dist Logistic-Dist
69 logistic-dist-struct ([mean : Flonum] [scale : Flonum]))
73 (: logistic-dist (case-> (-> Logistic-Dist)
76 (define (logistic-dist [c 0.0] [s 1.0])
87 (logistic-dist-struct pdf sample cdf inv-cdf -inf.0 +inf.0 (delay c) c s)))
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| /dports/science/R-cran-epicalc/epicalc/man/ |
| H A D | roc.rd | 5 \description{Receiver Operating Characteristic curve of a logistic regression model and a diagnosti…
7 lroc(logistic.model, graph = TRUE, add = FALSE, title = FALSE,
13 \item{logistic.model}{A model from logistic regression}
25 'lroc' graphs the ROC curve of a logistic regression model. If `table=TRUE', the diagnostic table b…
36 # Single ROC curve from logistic regression
39 logistic.display(model1)
48 logistic.display(model2)
52 title(main="Comparison of two logistic regression models")
56 # Various form of logistic regression
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| H A D | risk.display.rd | 2 \alias{logistic.display}
14 logistic.display(logistic.model, alpha = 0.05, crude = TRUE,
38 \item{logistic.model}{a model from a logistic regression}
44 \item{ordinal.model}{a model from an ordinal logistic regression}
82 logistic.display(model0)
86 logistic.display(glm1)
87 logistic.display(glm1, simplified=TRUE)
120 logistic.display(model1) -> table3
129 logistic.display(model2)
142 # Ordinal logistic regression
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| /dports/math/R-cran-psych/psych/R/ |
| H A D | logistic.R | 11 if (r == 1) {p <- (1-logistic(x,d=s[1],a=a,c=c,z=z))} else {
12 if (r == (length(s)+1)) {p <- logistic(x,d=s[r-1],a=a,c=c,z=z) } else {
13 p <- logistic(x,d=s[r-1],a=a,c=c,z=z) - logistic(x,d=s[r],a=a,c=c,z=z )
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| /dports/misc/darknet/darknet-darknet_yolo_v4_pre/build/darknet/x64/cfg/ |
| H A D | efficientnet_b0.cfg | 82 activation=logistic
136 activation=logistic
189 activation=logistic
252 activation=logistic
305 activation=logistic
369 activation=logistic
422 activation=logistic
484 activation=logistic
547 activation=logistic
600 activation=logistic
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| H A D | enet-coco.cfg | 72 activation=logistic
126 activation=logistic
179 activation=logistic
242 activation=logistic
295 activation=logistic
359 activation=logistic
412 activation=logistic
474 activation=logistic
537 activation=logistic
590 activation=logistic
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| /dports/misc/darknet/darknet-darknet_yolo_v4_pre/cfg/ |
| H A D | enet-coco.cfg | 72 activation=logistic
126 activation=logistic
179 activation=logistic
242 activation=logistic
295 activation=logistic
359 activation=logistic
412 activation=logistic
474 activation=logistic
537 activation=logistic
590 activation=logistic
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| H A D | efficientnet_b0.cfg | 82 activation=logistic
136 activation=logistic
189 activation=logistic
252 activation=logistic
305 activation=logistic
369 activation=logistic
422 activation=logistic
484 activation=logistic
547 activation=logistic
600 activation=logistic
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| /dports/devel/boost-docs/boost_1_72_0/libs/math/doc/distributions/ |
| H A D | logistic.qbk | 3 ``#include <boost/math/distributions/logistic.hpp>``
25 typedef logistic_distribution<> logistic;
29 The logistic distribution is a continous probability distribution.
31 function of the logistic distribution appears in logistic regression
44 Constructs a logistic distribution with location /u/ and scale /s/.
72 The logistic distribution is implemented in terms of the `std::exp`
98 [/ logistic.qbk
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| /dports/devel/boost-python-libs/boost_1_72_0/libs/math/doc/distributions/ |
| H A D | logistic.qbk | 3 ``#include <boost/math/distributions/logistic.hpp>``
25 typedef logistic_distribution<> logistic;
29 The logistic distribution is a continous probability distribution.
31 function of the logistic distribution appears in logistic regression
44 Constructs a logistic distribution with location /u/ and scale /s/.
72 The logistic distribution is implemented in terms of the `std::exp`
98 [/ logistic.qbk
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| /dports/databases/percona57-pam-for-mysql/boost_1_59_0/libs/math/doc/distributions/ |
| H A D | logistic.qbk | 3 ``#include <boost/math/distributions/logistic.hpp>``
25 typedef logistic_distribution<> logistic;
29 The logistic distribution is a continous probability distribution.
31 function of the logistic distribution appears in logistic regression
44 Constructs a logistic distribution with location /u/ and scale /s/.
72 The logistic distribution is implemented in terms of the `std::exp`
97 [/ logistic.qbk
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| /dports/databases/percona57-server/boost_1_59_0/libs/math/doc/distributions/ |
| H A D | logistic.qbk | 3 ``#include <boost/math/distributions/logistic.hpp>``
25 typedef logistic_distribution<> logistic;
29 The logistic distribution is a continous probability distribution.
31 function of the logistic distribution appears in logistic regression
44 Constructs a logistic distribution with location /u/ and scale /s/.
72 The logistic distribution is implemented in terms of the `std::exp`
97 [/ logistic.qbk
|
| /dports/databases/xtrabackup/boost_1_59_0/libs/math/doc/distributions/ |
| H A D | logistic.qbk | 3 ``#include <boost/math/distributions/logistic.hpp>``
25 typedef logistic_distribution<> logistic;
29 The logistic distribution is a continous probability distribution.
31 function of the logistic distribution appears in logistic regression
44 Constructs a logistic distribution with location /u/ and scale /s/.
72 The logistic distribution is implemented in terms of the `std::exp`
97 [/ logistic.qbk
|
| /dports/databases/percona57-client/boost_1_59_0/libs/math/doc/distributions/ |
| H A D | logistic.qbk | 3 ``#include <boost/math/distributions/logistic.hpp>``
25 typedef logistic_distribution<> logistic;
29 The logistic distribution is a continous probability distribution.
31 function of the logistic distribution appears in logistic regression
44 Constructs a logistic distribution with location /u/ and scale /s/.
72 The logistic distribution is implemented in terms of the `std::exp`
97 [/ logistic.qbk
|
| /dports/devel/boost-libs/boost_1_72_0/libs/math/doc/distributions/ |
| H A D | logistic.qbk | 3 ``#include <boost/math/distributions/logistic.hpp>``
25 typedef logistic_distribution<> logistic;
29 The logistic distribution is a continous probability distribution.
31 function of the logistic distribution appears in logistic regression
44 Constructs a logistic distribution with location /u/ and scale /s/.
72 The logistic distribution is implemented in terms of the `std::exp`
98 [/ logistic.qbk
|
| /dports/databases/mysqlwsrep57-server/boost_1_59_0/libs/math/doc/distributions/ |
| H A D | logistic.qbk | 3 ``#include <boost/math/distributions/logistic.hpp>``
25 typedef logistic_distribution<> logistic;
29 The logistic distribution is a continous probability distribution.
31 function of the logistic distribution appears in logistic regression
44 Constructs a logistic distribution with location /u/ and scale /s/.
72 The logistic distribution is implemented in terms of the `std::exp`
97 [/ logistic.qbk
|
| /dports/devel/hyperscan/boost_1_75_0/libs/math/doc/distributions/ |
| H A D | logistic.qbk | 3 ``#include <boost/math/distributions/logistic.hpp>``
25 typedef logistic_distribution<> logistic;
29 The logistic distribution is a continuous probability distribution.
31 function of the logistic distribution appears in logistic regression
44 Constructs a logistic distribution with location /u/ and scale /s/.
72 The logistic distribution is implemented in terms of the `std::exp`
98 [/ logistic.qbk
|