/dports/finance/R-cran-plm/plm/inst/tests/ |
H A D | test_pwtest.R | 8 require(plm) 10 formula <- log(gsp)~log(pcap)+log(pc)+log(emp)+unemp globalVar 14 default_pwtest_formula <- pwtest(formula, data = Produc) # == effect = "individual" 15 ind_pwtest_formula <- pwtest(formula, data = Produc, effect = "individual") 16 time_pwtest_formula <- pwtest(formula, data = Produc, effect = "time") 19 pool_prodc <- plm(formula, data=Produc, model="pooling")
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H A D | test_FD_models.Rout.save | 20 > library(plm) 21 > data("Produc", package = "plm") 24 > # plm with intercept 25 > fd_plm <- plm(log(gsp) ~ log(pcap) + log(pc) + log(emp) + unemp, data = Produc, model = "fd") 26 > # plm without intercept 27 > fd_plm2 <- plm(log(gsp) ~ 0 + log(pcap) + log(pc) + log(emp) + unemp, data = Produc, model = "fd") 40 plm(formula = log(gsp) ~ log(pcap) + log(pc) + log(emp) + unemp, 69 plm(formula = log(gsp) ~ 0 + log(pcap) + log(pc) + log(emp) + 97 pggls(formula = log(gsp) ~ log(pcap) + log(pc) + log(emp) + unemp, 122 pggls(formula = log(gsp) ~ 0 + log(pcap) + log(pc) + log(emp) +
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H A D | test_model.matrix_pmodel.response.R | 10 library(plm) 12 form <- formula(inv ~ value + capital) 13 plm_pool <- plm(form, data=Grunfeld, model="pooling") 14 plm_fe <- plm(form, data=Grunfeld, model="within") 15 plm_re <- plm(form, data=Grunfeld, model="random") 28 modmat_pFormula_pdf_pool <- plm:::model.matrix.pdata.frame(mf, model="pooling") # works 29 modmat_pFormula_pdf_fe <- plm:::model.matrix.pdata.frame(mf, model="within") # works 60 resp_pFormula_pool <- plm:::pmodel.response.formula(form, data = pGrunfeld, model = "pooling") 61 resp_pFormula_fe <- plm:::pmodel.response.formula(form, data = pGrunfeld, model = "within") 76 resp_pdf_mf_pool <- plm:::pmodel.response.data.frame(pGrunfeld_mf, model = "pooling") # works [all …]
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H A D | test_pht.Rout.save | 20 > # pht vs plm(., random.model="ht", inst.method="ht/am/bms") vs. plm(, model = "ht") 21 > library("plm") 22 > data("Wages", package = "plm") 34 pht(formula = lwage ~ wks + south + smsa + married + exp + I(exp^2) + 90 pht(formula = lwage ~ wks + south + smsa + married + exp + I(exp^2) + 145 pht(formula = lwage ~ wks + south + smsa + married + exp + I(exp^2) + 189 > ht4 <- plm(lwage ~ wks + south + smsa + married + exp + I(exp^2) + 200 pht(formula = lwage ~ wks + south + smsa + married + exp + I(exp^2) + 260 plm(formula = lwage ~ wks + south + smsa + married + exp + I(exp^2) + 315 plm(formula = lwage ~ wks + south + smsa + married + exp + I(exp^2) + [all …]
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H A D | test_Estimators.R | 20 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 …]
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H A D | test_pbsytest_unbalanced.Rout.save | 37 > library(plm) 38 > data("Grunfeld", package = "plm") 47 data: formula 56 data: formula 65 data: formula 73 data: formula 83 data: formula 92 data: formula 101 data: formula 109 data: formula [all …]
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H A D | test_pwfdtest_pwartest.R | 11 library(plm) 38 form_grun <- formula(inv ~ value + capital) 39 fd_grun <- plm(form_grun, data=Grunfeldpdata, model="fd") 40 fe_grun <- plm(form_grun, data=Grunfeldpdata, model="within")
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H A D | test_model.frame.R | 4 library(plm) 29 form <- formula(inv ~ value + capital) 37 plm_fe <- plm(form, data=Grunfeld, model="within") 38 plm_fe_NA_dep_var <- plm(form, data=pGrunfeld_NA_dep_var, model="within") 39 plm_fe_NA_dep_var_more <- plm(form, data=pGrunfeld_NA_dep_var_more, model="within") 42 plm_re <- plm(form, data=Grunfeld, model="random") 43 plm_re_NA_dep_var <- plm(form, data=pGrunfeld_NA_dep_var, model="random") 44 plm_re_NA_dep_var_more <- plm(form, data=pGrunfeld_NA_dep_var_more, model="random") 62 plm_fe_NA_dep_var2 <- plm(form, data=plm_fe_NA_dep_var$model, model="within") 76 plm_fe_NA_dep_var_more2 <- plm(form, data=plm_fe_NA_dep_var_more$model, model="within") [all …]
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H A D | test_pcdtest.Rout.save | 24 > 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$formula)), :
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H A D | test_plm_na.action.R | 22 library(plm) 24 form <- formula(inv ~ value + capital) 73 plm_gr_1NA <- plm(form, data = Grunfeld_1NA, model = "pooling") 81 plm_gr_na_omit <- plm(form, data = Grunfeld_1NA, model = "pooling", na.action = na.omit) 90 plm_gr_na_exclude <- plm(form, data = Grunfeld_1NA, model = "pooling", na.action = na.exclude) 102 plm_gr_na_pass <- plm(form, data = Grunfeld_1NA, model = "pooling", na.action = na.pass) 112 plm_gr_no_NA_na_pass <- plm(form, data = Grunfeld, model = "pooling", na.action = na.pass) 129 plm_gr_wi_na_exclude <- plm(form, data = Grunfeld_NA_rand, model = "within", na.action = na.exclude)
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H A D | test_misc.R | 1 library(plm) 18 df_after_pmerge <- plm:::pmerge(pGrunfeld$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 …]
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H A D | test_pbsytest_unbalanced.R | 20 library(plm) 23 form_gunfeld <- formula(inv ~ value + capital) 24 pool_grunfeld <- plm(form_gunfeld, data = Grunfeldpdata, model="pooling")
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/dports/finance/R-cran-plm/plm/man/ |
H A D | pwtest.Rd | 5 \alias{pwtest.formula} 11 \method{pwtest}{formula}(x, data, effect = c("individual", "time"), ...) 16 \item{x}{an object of class \code{"formula"}, or an estimated model of class 19 \item{\dots}{further arguments passed to \code{plm}.} 52 data("Produc", package = "plm") 53 ## formula interface 59 form <- formula(log(gsp) ~ log(pcap) + log(pc) + log(emp) + unemp) 60 pool_prodc <- plm(form, data = Produc, model = "pooling") 66 \insertRef{WOOL:02}{plm} 68 \insertRef{WOOL:10}{plm}
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H A D | pgrangertest.Rd | 8 formula, 16 \item{formula}{a \code{formula} object to describe the direction of the 46 tests \insertCite{GRAN:69}{plm} performed per individual. The test 47 is developed by \insertCite{DUMI:HURL:12;textual}{plm}, a shorter 48 exposition is given in \insertCite{LOPE:WEBE:17;textual}{plm}. 50 The formula \code{formula} describes the direction of the (panel) Granger 71 data("Grunfeld", package = "plm") 83 \insertRef{DUMI:HURL:12}{plm} 85 \insertRef{GRAN:69}{plm} 87 \insertRef{LOPE:WEBE:17}{plm}
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H A D | pmodel.response.Rd | 5 \alias{pmodel.response.plm} 7 \alias{pmodel.response.formula} 12 \method{pmodel.response}{plm}(object, ...) 16 \method{pmodel.response}{formula}(object, data, ...) 19 \item{object}{an object of class \code{"plm"}, or a formula of 40 model frame), a \code{pFormula} + \code{data} or a \code{plm} object, and the 49 data("Grunfeld", package = "plm") 62 # retrieve (transformed) response from a plm object, i.e., an estimated model 63 fe_model <- plm(form, data = pGrunfeld, model = "within") 71 \code{plm}'s \code{\link[=model.matrix]{model.matrix()}} for (transformed)
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H A D | purtest.Rd | 34 time series (individuals as columns), a \code{"pseries"} object, a formula; 38 formula interface, see Details and Examples),} 48 \insertCite{HADR:00;textual}{plm}, see Details,} 68 \insertCite{HADR:00;textual}{plm} should be computed,} 122 \insertCite{CHOI:01;textual}{plm}. 124 \insertCite{CHOI:01;textual}{plm} for large N, 132 \insertCite{MACK:94;textual}{plm}. 147 \item For the \code{formula}/\code{data} interface (if \code{data} is a \code{data.frame}, 148 an additional \code{index} argument should be specified); the formula 163 data("Grunfeld", package = "plm") [all …]
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H A D | pbsytest.Rd | 5 \alias{pbsytest.formula} 12 \method{pbsytest}{formula}( 28 \item{x}{an object of class \code{formula} or of class \code{panelmodel},} 112 data("Grunfeld", package = "plm") 117 ## default is AR testing (formula interface) 124 ## plm interface 130 \insertRef{BERA:SOSA:YOON:01}{plm} 132 \insertRef{BALT:13}{plm} 134 \insertRef{BALT:LI:91}{plm} 136 \insertRef{BALT:LI:95}{plm} [all …]
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H A D | pwfdtest.Rd | 5 \alias{pwfdtest.formula} 12 \method{pwfdtest}{formula}(x, data, ..., h0 = c("fd", "fe")) 17 \item{x}{an object of class \code{formula} or a \code{"fd"}-model (plm 36 As \insertCite{WOOL:10;textual}{plm}, Sec. 10.6.3 observes, if the 74 \insertCite{@see @DRUK:03}{plm}. 78 data("EmplUK" , package = "plm") 87 mod <- plm(log(emp) ~ log(wage) + log(capital), data = EmplUK, model = "fd") 95 \insertRef{DRUK:03}{plm} 97 \insertRef{WOOL:02}{plm} 100 \insertRef{WOOL:10}{plm}
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H A D | pwartest.Rd | 5 \alias{pwartest.formula} 11 \method{pwartest}{formula}(x, data, ...) 16 \item{x}{an object of class \code{formula} or of class \code{panelmodel},} 31 As \insertCite{WOOL:10;textual}{plm}, Sec. 10.5.4 observes, under 55 data("EmplUK", package = "plm") 64 \insertRef{WOOL:02}{plm} 66 \insertRef{WOOL:10}{plm}
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H A D | vcovBK.Rd | 5 \alias{vcovBK.plm} 10 \method{vcovBK}{plm}( 46 inside the standard formula for coefficient 51 formula is based on N- (T-) asymptotics and will not be appropriate 64 \insertCite{CRIB:04;textual}{plm} \insertCite{@see @ZEIL:04}{plm}. 79 data("Produc", package="plm") 106 \insertRef{BECK:KATZ:95}{plm} 108 \insertRef{CRIB:04}{plm} 110 \insertRef{GREE:03}{plm} 112 \insertRef{MACK:WHIT:85}{plm} [all …]
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H A D | pcdtest.Rd | 5 \alias{pcdtest.formula} 12 \method{pcdtest}{formula}( 37 \item{x}{an object of class \code{formula}, \code{panelmodel}, or \code{pseries} 95 \code{panelmodel} or a \code{formula} and \verb{data frame}; in the second case, 122 is due to \insertCite{BALT:FENG:KAO:12}{plm} and only valid for 125 \insertCite{BREU:PAGA:80;textual}{plm} is the original source for 136 data("Grunfeld", package = "plm") 164 \insertRef{BALT:FENG:KAO:12}{plm} 166 \insertRef{BREU:PAGA:80}{plm} 168 \insertRef{PESA:04}{plm} [all …]
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H A D | aneweytest.Rd | 7 aneweytest(formula, data, subset, na.action, index = NULL, ...) 10 \item{formula}{a symbolic description for the model to be estimated,} 35 data("RiceFarms", package = "plm") 40 \insertRef{ANGR:NEWE:91}{plm}
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H A D | detect.lindep.Rd | 7 \alias{detect.lindep.plm} 8 \alias{alias.plm} 20 \method{alias}{plm}(object, ...) 42 \item{model}{(see \code{plm}),} 44 \item{effect}{(see \code{plm}),} 109 data("Cigar" , package = "plm") 114 # setup a formula and a model frame 118 # (with intercept in the formula, there would be linear depedence) 139 data("Grunfeld", package = "plm") 170 \insertRef{WOOL:13}{plm} [all …]
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/dports/finance/R-cran-plm/plm/ |
H A D | NEWS.md | 73 * 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 …]
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/dports/math/R-cran-lme4/lme4/man/ |
H A D | lmList.Rd | 10 lmList(formula, data, family, subset, weights, na.action, 15 \item{formula}{a linear \code{\link{formula}} object of the form 16 \code{y ~ x1+...+xn | g}. In the formula object, \code{y} 24 variables named in \code{formula}. By default the 46 the formula instead or as well, and if more than one is 67 be taken from the environment of \code{formula} (if specified as a 81 fm.plm <- lmList(Reaction ~ Days | Subject, sleepstudy) 82 coef(fm.plm) 83 fm.2 <- update(fm.plm, pool = FALSE) 85 stopifnot( all.equal(coef(fm.2), coef(fm.plm)) ) [all …]
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