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/dports/finance/R-cran-plm/plm/inst/tests/
H A Dtest_pwtest.R8 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")
H A Dtest_FD_models.Rout.save20 > 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) +
H A Dtest_model.matrix_pmodel.response.R10 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
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H A Dtest_pht.Rout.save20 > # 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 …]
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_pbsytest_unbalanced.Rout.save37 > 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 …]
H A Dtest_pwfdtest_pwartest.R11 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")
H A Dtest_model.frame.R4 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 …]
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$formula)), :
H A Dtest_plm_na.action.R22 library(plm)
24 form <- formula(inv ~ value + capital)
73 plm_gr_1NA <- plm(form, data = Grunfeld_1NA, model = "pooling")
81 plm_gr_na_omit <- plm(form, data = Grunfeld_1NA, model = "pooling", na.action = na.omit)
90 plm_gr_na_exclude <- plm(form, data = Grunfeld_1NA, model = "pooling", na.action = na.exclude)
102 plm_gr_na_pass <- plm(form, data = Grunfeld_1NA, model = "pooling", na.action = na.pass)
112 plm_gr_no_NA_na_pass <- plm(form, data = Grunfeld, model = "pooling", na.action = na.pass)
129 plm_gr_wi_na_exclude <- plm(form, data = Grunfeld_NA_rand, model = "within", na.action = na.exclude)
H A Dtest_misc.R1 library(plm)
18 df_after_pmerge <- plm:::pmerge(pGrunfeld$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_pbsytest_unbalanced.R20 library(plm)
23 form_gunfeld <- formula(inv ~ value + capital)
24 pool_grunfeld <- plm(form_gunfeld, data = Grunfeldpdata, model="pooling")
/dports/finance/R-cran-plm/plm/man/
H A Dpwtest.Rd5 \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}
H A Dpgrangertest.Rd8 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}
H A Dpmodel.response.Rd5 \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)
H A Dpurtest.Rd34 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 …]
H A Dpbsytest.Rd5 \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 …]
H A Dpwfdtest.Rd5 \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}
H A Dpwartest.Rd5 \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}
H A DvcovBK.Rd5 \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 …]
H A Dpcdtest.Rd5 \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 …]
H A Daneweytest.Rd7 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}
H A Ddetect.lindep.Rd7 \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 …]
/dports/finance/R-cran-plm/plm/
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/math/R-cran-lme4/lme4/man/
H A DlmList.Rd10 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)) )
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