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/dports/editors/vim/vim-8.2.3745/runtime/pack/dist/opt/matchit/doc/
H A D	tags	`19 matchit matchit.txt /matchit 20 matchit-% matchit.txt /matchit-% 21 matchit-\1 matchit.txt /matchit-\\1 24 matchit-bugs matchit.txt /matchit-bugs 27 matchit-debug matchit.txt /matchit-debug 30 matchit-hl matchit.txt /matchit-hl 31 matchit-intro matchit.txt /matchit-intro 35 matchit-o_% matchit.txt /matchit-o_% 41 matchit-v_% matchit.txt /matchit-v_% 42 matchit.txt matchit.txt /matchit.txt [all …]`
/dports/math/R-cran-MatchIt/MatchIt/
H A D	NAMESPACE	`11 export(matchit) 14 S3method(plot, matchit) 15 S3method(plot, matchit.subclass) 16 S3method(plot, summary.matchit) 17 S3method(print, matchit) 18 S3method(print, summary.matchit) 19 S3method(print, summary.matchit.subclass) 20 S3method(summary, matchit) 21 S3method(summary, matchit.subclass)`
H A D	NEWS.md	13 …omponents of the `matchit` object have been removed. They are now computed by `summary.matchit()` … 41 … is now produced when the treatment variable is omitted from the `formula` argument to `matchit()`. 45 * Fixed a bug that would occur when using `summary.matchit()` with just one covariate. 51 * Fixed a bug in `plot.matchit()` that would occur when a level of a factor had no values. 97 * Fixed a bug when no argument was supplied to `data` in `matchit()`. 119 * `print.matchit()` has completely changed and now prints information about the matching type and s… 127 ## `matchit()` 146 …matchit` object, possibly with a propensity score estimated using `distance` or with a common supp… 224 ## `summary.matchit()` 244 ## `plot.matchit()` [all …]
H A D	MD5	`16 81b881d4744e94fd2c7b4b7be3f908f3 R/matchit.R 55 011dfe71ae45c32875e0003352f9278b man/matchit.Rd 64 79d9d2deba4e226f4f7d715dcec4861d man/plot.matchit.Rd 65 211350e0e3d5e3b7dc45ab65d9256f80 man/plot.summary.matchit.Rd 67 6dd86e9fd16b447fff503ec5cf7f892c *man/summary.matchit.Rd`
/dports/math/R-cran-MatchIt/MatchIt/man/
H A D	add_s.weights.Rd	4 Add sampling weights to a \code{matchit} object 7 …matchit} object so that they are incorporated into balance assessment and creation of the weights.… 14 a \code{matchit} object; the output of a call to \fun{matchit}, typically with the \code{s.weights}… 17 an numeric vector of sampling weights to be added to the \code{matchit} object. Can also be specifi… 20 …add_s.weights} will attempt to find the dataset using the environment of the \code{matchit} object. 24 …matchit} object with an \code{s.weights} component containing the supplied sampling weights. The \… 30 \fun{matchit}; \fun{match.data} 41 m.out <- matchit(treat ~ age + educ + race + nodegree + 46 # Add s.weights to the matchit object
H A D	summary.matchit.Rd	1 \name{summary.matchit} 2 \alias{summary.matchit} 3 \alias{summary.matchit.subclass} 4 \alias{print.summary.matchit} 5 \alias{print.summary.matchit.subclass} 7 View a balance summary of a \code{matchit} object 29 a \code{matchit} object; the output of a call to \fun{matchit}. 59 a \code{summay.matchit} or \code{summary.matchit.subclass} object; the output of a call to \code{su… 87 For \code{matchit} objects, a \code{summary.matchit} object, which is a list with the following com… 109 \pkgfun2{cobalt}{bal.tab.matchit}{cobalt::bal.tab}, which also displays balance for \code{matchit} … [all …]
H A D	plot.matchit.Rd	1 \name{plot.matchit} 2 \alias{plot.matchit} 3 \alias{plot.matchit.subclass} 11 \method{plot}{matchit}(x, type = "qq", interactive = TRUE, 14 \method{plot}{matchit.subclass}(x, type = "qq", interactive = TRUE, 19 a \code{matchit} object; the output of a call to \fun{matchit}. 59 \fun{summary.matchit} for numerical summaries of balance, including those that rely on the eQQ and … 61 \fun{plot.summary.matchit} for plotting standardized mean differences in a Love plot. 63 …nd produce \emph{ggplot2} objects. \emph{cobalt} functions natively support \code{matchit} objects. 67 m.out <- matchit(treat ~ age + educ + married + [all …]
H A D	plot.summary.matchit.Rd	1 \name{plot.summary.matchit} 2 \alias{plot.summary.matchit} 11 \method{plot}{summary.matchit}(x, abs = TRUE, var.order = "data", 17 a \code{summary.matchit} object; the output of a call to \fun{summary.matchit}. The \code{standardi… 36 For matching methods other than subclassification, \code{plot.summary.matchit} uses \code{x$sum.all… 45 \fun{summary.matchit}, \fun{dotchart} 47 …histicated function to make Love plots and is also natively compatible with \code{matchit} objects. 51 m.out <- matchit(treat ~ age + educ + married + 57 s.out <- matchit(treat ~ age + educ + married +
H A D	method_exact.Rd	6 In \fun{matchit}, setting \code{method = "exact"} performs exact matching. With exact matching, a c… 8 This page details the allowable arguments with \code{method = "exact"}. See \fun{matchit} for an ex… 10 Below is how \code{matchit()} is used for exact matching: 12 matchit(formula, 32 …trols how the weights are computed; see the Computing Weights section at \fun{matchit} for details. 46 All outputs described in \fun{matchit} are returned with \code{method = "exact"} except for \code{m… 55 \fun{matchit} for a detailed explanation of the inputs and outputs of a call to \code{matchit()}. T… 63 m.out1 <- matchit(treat ~ age + race + married + educ, data = lalonde,
H A D	distance.Rd	23 …matchit()} is passed directly to \fun{glm}, and \fun{predict.glm} is used to compute the propensit… 38 …matchit()} is passed directly to \pkgfun2{randomForest}{randomForest}{randomForest::randomForest},… 47 …matchit()} is passed directly to \pkgfun2{dbarts}{bart}{dbarts::bart2}, and \pkgfun2{dbarts}{bart}… 57 …matchit()} output object in the \code{model} component. When \code{distance} is anything other tha… 65 m.out1 <- matchit(treat ~ age + educ + race + married + 70 m.out2 <- matchit(treat ~ s(age) + s(educ) + race + married + 77 m.out3 <- matchit(treat ~ age + educ + race + married + 84 m.out4 <- matchit(treat ~ age + educ + race + married + 92 m.out5 <- matchit(treat ~ age + educ + race + married + 105 m.out6 <- matchit(treat ~ age + educ + race + married + [all …]
H A D	match.data.Rd	6 Construct a matched dataset from a \code{matchit} object 32 a \code{matchit} object; the output of a call to \fun{matchit}. 38 …ching. Ignored if a distance measure was not supplied or estimated in the call to \code{matchit()}. 50 …s()} will attempt to find the dataset using the environment of the \code{matchit} object, which ca… 53 …multiply the estimated weights by the sampling weights supplied to \code{matchit()}, if any. Defau… 69 …y score, if estimated or supplied to the \code{distance} argument in \code{matchit()} as a vector.} 76 If \code{data} or the original dataset supplied to \code{matchit()} was a \code{data.table} or \cod… 81 …matchit} object, e.g., as \code{match.data(m.out)}. A data set will first be searched in the envir… 83 …matchit()} was originally called and a propensity score was not estimated (or was but with \code{d… 87 \fun{matchit} [all …]
H A D	method_full.Rd	11 This page details the allowable arguments with \code{method = "fullmatch"}. See \fun{matchit} for a… 13 Below is how \code{matchit()} is used for optimal full matching: 15 matchit(formula, 99 \fun{matchit} for a detailed explanation of the inputs and outputs of a call to \code{matchit()}. 112 matchit(treat ~ X1 + X2, method = "nearest", 116 …hing occurs on this distance. The \code{distance} component of the \code{matchit()} output will be… 121 matchit(treat ~ X1 + X2 + X3, method = "nearest", 135 In a manuscript, be sure to cite the following paper if using \code{matchit()} with \code{method = … 152 m.out1 <- matchit(treat ~ age + educ + race + nodegree + 159 m.out2 <- matchit(treat ~ age + educ + race + nodegree + [all …]
H A D	method_optimal.Rd	9 This page details the allowable arguments with \code{method = "optmatch"}. See \fun{matchit} for an… 11 Below is how \code{matchit()} is used for optimal pair matching: 13 matchit(formula, 96 …s described in \fun{matchit} are returned with \code{method = "optimal"}. When \code{include.obj =… 99 \fun{matchit} for a detailed explanation of the inputs and outputs of a call to \code{matchit()}. 112 matchit(treat ~ X1 + X2, method = "nearest", 116 …hing occurs on this distance. The \code{distance} component of the \code{matchit()} output will be… 121 matchit(treat ~ X1 + X2 + X3, method = "nearest", 143 In a manuscript, be sure to cite the following paper if using \code{matchit()} with \code{method = … 155 m.out1 <- matchit(treat ~ age + educ + race + nodegree + [all …]
H A D	method_subclass.Rd	8 In \fun{matchit}, setting \code{method = "subclass"} performs subclassification on the distance mea… 10 This page details the allowable arguments with \code{method = "subclass"}. See \fun{matchit} for an… 12 Below is how \code{matchit()} is used for subclassification: 14 matchit(formula, 48 …lassification weights are computed; see the Computing Weights section at \fun{matchit} for details. 76 All outputs described in \fun{matchit} are returned with \code{method = "subclass"} except that \co… 98 \fun{matchit} for a detailed explanation of the inputs and outputs of a call to \code{matchit()}. 106 s.out1 <- matchit(treat ~ age + educ + race + nodegree + 114 s.out2 <- matchit(treat ~ age + educ + race + nodegree +
H A D	method_nearest.Rd	9 This page details the allowable arguments with \code{method = "nearest"}. See \fun{matchit} for an … 11 Below is how \code{matchit()} is used for nearest neighbor matching: 13 matchit(formula, 106 All outputs described in \fun{matchit} are returned with \code{method = "nearest"}. When \code{repl… 115 matchit(treat ~ X1 + X2, method = "nearest", 124 matchit(treat ~ X1 + X2 + X3, method = "nearest", 156 \fun{matchit} for a detailed explanation of the inputs and outputs of a call to \code{matchit()}. 164 m.out1 <- matchit(treat ~ age + educ + race + nodegree + 172 m.out2 <- matchit(treat ~ age + educ + race + nodegree + 182 m.out3 <- matchit(treat ~ age + educ + re74 + re75, data = lalonde, [all …]
H A D	method_genetic.Rd	9 This page details the allowable arguments with \code{method = "genetic"}. See \fun{matchit} for an … 11 Below is how \code{matchit()} is used for genetic matching: 13 matchit(formula, 78 …} is \code{"data"}. Otherwise, the default is \code{"largest"}. See \fun{matchit} for allowable op… 97 …matchit} are returned with \code{method = "genetic"}. When \code{replace = TRUE}, the \code{subcla… 104 … matrix. This is the default and most typical use of \code{method = "genetic"} in \code{matchit()}. 115 In a manuscript, be sure to cite the following papers if using \code{matchit()} with \code{method =… 127 \fun{matchit} for a detailed explanation of the inputs and outputs of a call to \code{matchit()}. 135 m.out1 <- matchit(treat ~ age + educ + race + nodegree + 143 m.out2 <- matchit(treat ~ age + educ + race + nodegree + [all …]
/dports/editors/neovim/neovim-0.6.1/runtime/pack/dist/opt/matchit/plugin/
H A D	matchit.vim	1 " matchit.vim: (global plugin) Extended "%" matching 5 " Repository: https://github.com/chrisbra/matchit 10 " The documentation is in a separate file: ../doc/matchit.txt 49 nnoremap <silent> <Plug>(MatchitNormalForward) :<C-U>call matchit#Match_wrapper('',1,'n')<CR> 50 nnoremap <silent> <Plug>(MatchitNormalBackward) :<C-U>call matchit#Match_wrapper('',0,'n')<CR> 53 onoremap <silent> <Plug>(MatchitOperationForward) :<C-U>call matchit#Match_wrapper('',1,'o')<CR> 54 onoremap <silent> <Plug>(MatchitOperationBackward) :<C-U>call matchit#Match_wrapper('',0,'o')<CR> 64 nnoremap <silent> <Plug>(MatchitNormalMultiBackward) :<C-U>call matchit#MultiMatch("bW", "n")<CR> 65 nnoremap <silent> <Plug>(MatchitNormalMultiForward) :<C-U>call matchit#MultiMatch("W", "n")<CR> 68 onoremap <silent> <Plug>(MatchitOperationMultiBackward) :<C-U>call matchit#MultiMatch("bW", "o")<CR> [all …]
/dports/editors/vim/vim-8.2.3745/runtime/pack/dist/opt/matchit/plugin/
H A D	matchit.vim	1 " matchit.vim: (global plugin) Extended "%" matching 5 " Repository: https://github.com/chrisbra/matchit 10 " The documentation is in a separate file: ../doc/matchit.txt 49 nnoremap <silent> <Plug>(MatchitNormalForward) :<C-U>call matchit#Match_wrapper('',1,'n')<CR> 50 nnoremap <silent> <Plug>(MatchitNormalBackward) :<C-U>call matchit#Match_wrapper('',0,'n')<CR> 53 onoremap <silent> <Plug>(MatchitOperationForward) :<C-U>call matchit#Match_wrapper('',1,'o')<CR> 54 onoremap <silent> <Plug>(MatchitOperationBackward) :<C-U>call matchit#Match_wrapper('',0,'o')<CR> 64 nnoremap <silent> <Plug>(MatchitNormalMultiBackward) :<C-U>call matchit#MultiMatch("bW", "n")<CR> 65 nnoremap <silent> <Plug>(MatchitNormalMultiForward) :<C-U>call matchit#MultiMatch("W", "n")<CR> 68 onoremap <silent> <Plug>(MatchitOperationMultiBackward) :<C-U>call matchit#MultiMatch("bW", "o")<CR> [all …]
/dports/editors/vim/vim-8.2.3745/runtime/macros/
H A D	matchit.vim	`1 " Load the matchit package. 2 " For those users who were loading the matchit plugin from here. 4 packadd matchit`
/dports/math/R-cran-MatchIt/MatchIt/vignettes/
H A D	assessing-balance.Rmd	88 m.out <- matchit(treat ~ age + educ + race + married + 94 ### `summary.matchit()` 130 ### `plot.summary.matchit()` 132 …a call to `summary()` on a `matchit` object produces a Love plot of the standardized mean differen… 149 ### `plot.matchit()` 153 `plot.matchit()` has a few arguments to customize the output: 188 …matchit()`, we can request to view balance only in aggregate or in each subclass. The latter can h… 192 s.out <- matchit(treat ~ age + educ + race + married + 210 …lso displays balance for the subclasses using `plot.summary.matchit()` on a `summary.matchit()` ob… 219 …matchit()`, again we can choose whether balance should be displayed in aggregate or within subclas… [all …]
H A D	sampling-weights.Rmd	90 To supply sampling weights to the propensity score-estimating function in `matchit()`, the sampling… 93 mF_s <- matchit(A ~ X1 + X2 + X3 + X4 + X5 + 100 …matchit` object is printed includes lines indicating that the sampling weights were included in th… 105 mF <- matchit(A ~ X1 + X2 + X3 + X4 + X5 + 112 …matchit` object, even if they were not used at all in the matching. To do so, we use the function … 120 Now when we print the `matchit` object, we can see lines have been added identifying that sampling … 122 …orporate sampling weights. Sampling weights should still be supplied to `matchit()` even when usin… 126 …ights are incorporated into the `matchit` object, the balance assessment tools in `plot.matchit()`… 128 …s long as they are in the `matchit` object (either due to being supplied with the `s.weights` argu… 140 …ent conclusion. It is critical to incorporate sampling weights into the `matchit` object using `ad… [all …]
/dports/math/R-cran-MatchIt/MatchIt/inst/doc/
H A D	assessing-balance.Rmd	88 m.out <- matchit(treat ~ age + educ + race + married + 94 ### `summary.matchit()` 130 ### `plot.summary.matchit()` 132 …a call to `summary()` on a `matchit` object produces a Love plot of the standardized mean differen… 149 ### `plot.matchit()` 153 `plot.matchit()` has a few arguments to customize the output: 188 …matchit()`, we can request to view balance only in aggregate or in each subclass. The latter can h… 192 s.out <- matchit(treat ~ age + educ + race + married + 210 …lso displays balance for the subclasses using `plot.summary.matchit()` on a `summary.matchit()` ob… 219 …matchit()`, again we can choose whether balance should be displayed in aggregate or within subclas… [all …]
H A D	sampling-weights.Rmd	90 To supply sampling weights to the propensity score-estimating function in `matchit()`, the sampling… 93 mF_s <- matchit(A ~ X1 + X2 + X3 + X4 + X5 + 100 …matchit` object is printed includes lines indicating that the sampling weights were included in th… 105 mF <- matchit(A ~ X1 + X2 + X3 + X4 + X5 + 112 …matchit` object, even if they were not used at all in the matching. To do so, we use the function … 120 Now when we print the `matchit` object, we can see lines have been added identifying that sampling … 122 …orporate sampling weights. Sampling weights should still be supplied to `matchit()` even when usin… 126 …ights are incorporated into the `matchit` object, the balance assessment tools in `plot.matchit()`… 128 …s long as they are in the `matchit` object (either due to being supplied with the `s.weights` argu… 140 …ent conclusion. It is critical to incorporate sampling weights into the `matchit` object using `ad… [all …]
H A D	MatchIt.R	`14 m.out0 <- matchit(treat ~ age + educ + race + married + 24 m.out1 <- matchit(treat ~ age + educ + race + married + 45 m.out2 <- matchit(treat ~ age + educ + race + married +`
H A D	estimating-effects.R	`79 mNN <- matchit(A ~ X1 + X2 + X3 + X4 + X5 + 230 mNNr <- matchit(A ~ X1 + X2 + X3 + X4 + X5 + 274 mNNr_boot <- matchit(A ~ X1 + X2 + X3 + X4 + X5 + 372 mF <- matchit(A ~ X1 + X2 + X3 + X4 + X5 + 422 mS <- matchit(A ~ X1 + X2 + X3 + X4 + X5 + 520 mF <- matchit(A ~ X1 + X2 + X3 + X4 + X5 + 534 mP <- matchit(A ~ X1 + X2 + X5*X3 + X4 + 551 mS0 <- matchit(A ~ X1 + X2 + X3 + X4 + 555 mS1 <- matchit(A ~ X1 + X2 + X3 + X4 +`

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