Home
last modified time | relevance | path

Searched +refs:formula +refs:plm (Results 1 – 25 of 113) sorted by last modified time

12345

/dports/www/mediawiki137/mediawiki-1.37.1/
H A DHISTORY15260 * Palembang (plm) (removed)
24062 * (bug 1594) Render a hyphen in a formula as − in HTML
/dports/www/mediawiki136/mediawiki-1.36.3/
H A DHISTORY14185 * Palembang (plm) (removed)
22987 * (bug 1594) Render a hyphen in a formula as − in HTML
/dports/www/mediawiki135/mediawiki-1.35.5/
H A DHISTORY12399 * Palembang (plm) (removed)
21201 * (bug 1594) Render a hyphen in a formula as − in HTML
/dports/editors/texstudio/texstudio-4.1.2/utilities/dictionaries/
H A Dsk_SK-Slovak.dic30860 formulačne
30861 formulačný/Y
30865 formula/zZ
163085 plm
H A Dcs_CS-Czech.dic122391 formulační/YRN
170163 plm
/dports/www/dooble/dooble-2021.12.05/Dictionaries/sk_SK/
H A Dsk_SK.dic29174 formulačne
29175 formulačný/Y
29179 formula/zZ
154544 plm
/dports/devel/R-cran-broom/broom/man/
H A Daugment.plm.Rd3 \name{augment.plm}
4 \alias{augment.plm}
10 \item{x}{A \code{plm} objected returned by \code{\link[plm:plm]{plm::plm()}}.}
61 of covariates in a model formula during the original model fitting
75 library(plm)
77 data("Produc", package = "plm")
95 \code{\link[=augment]{augment()}}, \code{\link[plm:plm]{plm::plm()}}
97 Other plm tidiers:
98 \code{\link{glance.plm}()},
99 \code{\link{tidy.plm}()}
[all …]
/dports/finance/R-cran-plm/plm/inst/tests/
H A Dtest_pdiff_fd.Rout.save20 > library(plm)
21 > data("Grunfeld", package = "plm")
24 > fd_id <- plm(form, data = Grunfeld, model = "fd")
30 plm(formula = form, data = Grunfeld, model = "fd")
70 > # fd_time <- plm(form, data = Grunfeld, model = "fd", effect = "time")
187 > pdiff_id <- plm:::pdiff(pGrunfeld[ , "value"], effect = "individual")
188 > #YC pdiff_time <- plm:::pdiff(pGrunfeld[ , "value"], effect = "time")
H A Dtest_pcdtest.Rout.save24 > library(plm)
25 > data("Grunfeld", package = "plm")
28 > mod_pool <- plm(inv ~ value + capital, data = Grunfeld, model = "pooling")
38 > mod_pool_no_intersect <- plm(inv ~ value + capital, data = Grunfeld_no_intersect, model = "poolin…
42 In pcdres(tres = tres, n = n, w = w, form = paste(deparse(x$formula)), :
54 > mod_pool_one_intersect <- plm(inv ~ value + capital, data = Grunfeld_one_intersect, model = "pool…
57 In pcdres(tres = tres, n = n, w = w, form = paste(deparse(x$formula)), :
67 > mod_pool_no_intersect_unbal <- plm(inv ~ value + capital, data = Grunfeld_no_intersect_unbal, mod…
70 In pcdres(tres = tres, n = n, w = w, form = paste(deparse(x$formula)), :
H A Dtest_model.matrix_pmodel.response.Rout.save18 > ## Tests for model.matrix[.pFormula|.plm] and pmodel.response.[pFormula|.plm|.data.frame]
22 > # 1) model.matrix[.pFormula|.plm]
27 > library(plm)
28 > data("Grunfeld", package="plm")
29 > form <- formula(inv ~ value + capital)
74 > #MM resp_pFormula_pool <- plm:::pmodel.response.formula(form, data = pGrunfeld, model = "pooling"…
75 > #MM resp_pFormula_fe <- plm:::pmodel.response.formula(form, data = pGrunfeld, model = "within")
77 > resp_pFormula_pool <- plm:::pmodel.response.formula(form, data = pGrunfeld, model = "pooling")
78 > resp_pFormula_fe <- plm:::pmodel.response.formula(form, data = pGrunfeld, model = "within")
83 > # Error in model.matrix.pFormula(pFormula(formula), data = data, model = model, :
[all …]
H A Dtest_model.frame.Rout.save21 > library(plm)
22 > data("Grunfeld", package="plm") # requires package plm
46 > form <- formula(inv ~ value + capital)
57 > plm_fe <- plm(form, data=Grunfeld, model="within")
58 > plm_fe_NA_dep_var <- plm(form, data=pGrunfeld_NA_dep_var, model="within")
59 > plm_fe_NA_dep_var_more <- plm(form, data=pGrunfeld_NA_dep_var_more, model="within")
62 > plm_re <- plm(form, data=Grunfeld, model="random")
63 > plm_re_NA_dep_var <- plm(form, data=pGrunfeld_NA_dep_var, model="random")
64 > plm_re_NA_dep_var_more <- plm(form, data=pGrunfeld_NA_dep_var_more, model="random")
82 > plm_fe_NA_dep_var2 <- plm(form, data=plm_fe_NA_dep_var$model, model="within")
[all …]
H A Dtest_misc.Rout.save56 > form <- formula(inv ~ value + capital)
699 > # then make a model frame from a formula and a pdata.frame
1422 pgmm(formula = log(emp) ~ lag(log(emp), 1:2) + lag(log(wage),
1461 pgmm(formula = log(emp) ~ lag(log(emp), 1) + lag(log(wage), 0:1) +
1489 > # Same with the old formula or dynformula interface
1502 pgmm(formula = log(emp) ~ log(wage) + log(capital) + log(output),
1543 pgmm(formula = dynformula(log(emp) ~ log(wage) + log(capital),
1774 data: formula
1782 data: formula
1795 data: formula
[all …]
H A Dtest_misc.R1 library(plm)
18 df_after_pmerge <- plm:::pmerge(pGrunfeld$inv, pGrunfeld$value)
25 form <- formula(inv ~ value + capital)
44 if (plm:::has.index(residuals(plm(form, data = pGrunfeld, model = "fd")))) stop("residuals.plm's re…
55 if (plm:::has.index(fitted(plm(form, data = pGrunfeld, model = "fd")))) stop("fitted.plm's return v…
59 p <- plm(inv ~ value, Grunfeld, model = "pooling")
126 m <- plm(inv ~ value + capital, data = Gr)
222 fe_model <- plm(form, data = pGrunfeld, model = "within")
241 fe_model <- plm(form, data = pGrunfeld, model = "within")
342 form <- formula(log(gsp) ~ log(pcap) + log(pc) + log(emp) + unemp)
[all …]
H A Dtest_pwaldtest.Rout.save23 > library(plm)
24 > data("Grunfeld", package="plm")
36 > plm::pwaldtest(gp, test = "Chisq")
78 > plm::pwaldtest(gp, test = "F")
86 > plm::pwaldtest(gi, test = "F")
94 > plm::pwaldtest(gt, test = "F")
102 > plm::pwaldtest(gd, test = "F")
110 > plm::pwaldtest(gre, test = "F")
134 > # Chisq - robust - formula
343 > # library(plm)
[all …]
H A Dtest_pvcm.Rout.save23 > library(plm)
24 > data("Produc", package = "plm")
903 pvcm(formula = log(gsp) ~ log(pcap) + log(pc) + log(emp) + unemp,
1650 pvcm(formula = log(gsp) ~ log(pcap) + log(pc) + log(emp) + unemp,
1698 pvcm(formula = log(gsp) ~ 1, data = Produc, model = "within")
1727 pvcm(formula = log(gsp) ~ 1, data = Produc, model = "random")
H A Dtest_EstimatorsIV.Rout.save40 plm(formula = form, data = Crime, model = "between")
219 plm(formula = form_iv, data = Crime, model = "between")
576 plm(formula = form_wage, data = pWages, model = "random")
619 plm(formula = form_wage, data = pWages, model = "within")
657 plm(formula = form_wage_iv, data = pWages, model = "random",
706 plm(formula = form_wage_iv, data = pWages, model = "random",
755 plm(formula = form_wage_iv, data = pWages, model = "random",
1195 plm(formula = form_wage_iv2, data = pWages, effect = "time",
1237 plm(formula = form_wage_iv2, data = pWages, effect = "time",
1279 plm(formula = form_wage_iv2, data = pWages, effect = "time",
[all …]
H A Dtest_Estimators.Rout.save54 plm(formula = inv ~ value + capital, data = Grunfeld, model = "pooling")
79 plm(formula = inv ~ value + capital, data = Grunfeld, model = "between")
105 plm(formula = inv ~ value + capital, data = Grunfeld, model = "within")
130 plm(formula = inv ~ value + capital, data = Grunfeld, model = "random",
163 plm(formula = inv ~ value + capital, data = Grunfeld, model = "random",
270 plm(formula = inv ~ value + capital, data = Grunfeld, effect = "time",
1368 plm(formula = form, data = pHedonic, model = "random")
1431 plm(formula = form2, data = pHedonic2, model = "random")
1732 plm(formula = inv ~ 1, data = Grunfeld, model = "pooling")
1756 plm(formula = inv ~ 1, data = Grunfeld, model = "fd")
[all …]
H A Dtest_Estimators.R20 library(plm)
219 form <- formula(mv ~ crim + zn + indus + chas + nox + rm + age + dis + rad + tax + ptratio + blacks…
220 summary(plm(form, data = pHedonic, model = "random"))
238 form2 <- formula(mv2 ~ crim2 + zn2 + indus2 + chas2 + nox2 + rm2 + age2 + dis2 + rad2 + tax2 + ptra…
239 summary(plm(form2, data = pHedonic2, model = "random"))
267 plm(inv ~ 0 + value + capital, data = Grunfeld, model = "random")
268 plm(inv ~ 0 + value + capital, data = Grunfeld, model = "within")
269 plm(inv ~ 0 + value + capital, data = Grunfeld, model = "fd")
273 intonly.pool <- plm(inv ~ 1, data = Grunfeld, model = "pooling")
276 intonly.fd <- plm(inv ~ 1, data = Grunfeld, model = "fd")
[all …]
H A Dtest_EstimatorsNested.Rout.save18 > library(plm)
19 > data("Produc", package = "plm")
22 > summary(plm(form, data = pProduc, model = "random", effect = "nested"))
27 plm(formula = form, data = pProduc, effect = "nested", model = "random")
62 > summary(plm(form, data = pProduc, model = "random", effect = "nested", random.method = "walhus"))
67 plm(formula = form, data = pProduc, effect = "nested", model = "random",
108 plm(formula = form, data = pProduc, effect = "nested", model = "random",
146 > summary(plm(form, data = pProduc_unbal, model = "random", effect = "nested"))
151 plm(formula = form, data = pProduc_unbal, effect = "nested",
192 plm(formula = form, data = pProduc_unbal, effect = "nested",
[all …]
/dports/finance/R-cran-plm/plm/man/
H A Dpcce.Rd13 formula,
39 \item{formula}{a symbolic description of the model to be estimated,}
99 data("Produc", package = "plm")
109 \insertRef{kappesyam11}{plm}
H A Dpbltest.Rd5 \alias{pbltest.formula}
6 \alias{pbltest.plm}
11 \method{pbltest}{formula}(x, data, alternative = c("twosided", "onesided"), index = NULL, ...)
16 \item{x}{a model formula or an estimated random--effects model of
17 class \code{plm} ,}
21 \item{data}{for the formula interface only: a \code{data.frame},}
50 data("Grunfeld", package = "plm")
52 # formula interface
55 # plm interface
62 \insertRef{BALT:LI:95}{plm}
[all …]
/dports/finance/R-cran-plm/plm/
H A DNAMESPACE37 S3method(ercomp,formula)
46 S3method(formula,plm)
84 S3method(pFtest,formula)
86 S3method(pbgtest,formula)
88 S3method(pbltest,formula)
90 S3method(pbnftest,formula)
94 S3method(pcdtest,formula)
103 S3method(pdwtest,formula)
105 S3method(phtest,formula)
107 S3method(plmtest,formula)
[all …]
H A DNEWS.md73 * pcdtest: for formula method, the formula is evaluated in the parent environment.
314 was unnecessary as the formula can be retrieved from the
508 * pwartest.formula (only formula interface): fixed: ellipsis ("dots") was not passed on.
675 * pbltest: now has a plm interface (besides the formula interface).
927 * fixed "already a pdata.frame" bug in pcdtest.formula.
1102 objects, and not only formula.
1123 * in formula(dynformula), a bug is fixed so that the endog
1306 tools for formula with two parts.
1324 * in plm.formula, [int.row.names] is replaced by
1353 * phtest, pFtest, plmtest now have a formula method.
[all …]
/dports/finance/R-cran-plm/plm/R/
H A Dtest_serial.R129 cl[[1L]] <- quote(plm)
207 cl[[1L]] <- quote(plm)
299 data.name = paste(deparse(substitute(formula))))
374 cl[[1L]] <- quote(plm)
404 auxmod <- plm(FEres ~ FEres.1, data = data, model = "pooling", index = c("id", "time"))
705 dname <- paste(deparse(substitute(formula)))
845 cl[[1L]] <- quote(plm)
1022 cl[[1L]] <- quote(plm)
1221 pbltest.formula(formula(x$formula), data=cbind(index(x), x$model),
1324 cl[[1L]] <- quote(plm)
[all …]
H A Ddetect_lin_dep_alias.R230 if (length(formula(object))[2] == 2) stop("alias.plm/alias.pFormula: IV not supported")
251 lm.fit.obj$terms <- deparse(object$formula)
307 formula <- attr(object, "formula") functionVar
308 plmobj <- plm(formula, data = object, model = model, effect = effect, ...)

12345