round of test case .Rout.save file update due to typo fixes in commen…

…ts and output adjustments as well as non-significant numerical diffs (new R version)

inst/tests/test_fixef2.Rout.save

@@ -1,7 +1,7 @@
 
-R version 4.1.2 (2021-11-01) -- "Bird Hippie"
-Copyright (C) 2021 The R Foundation for Statistical Computing
-Platform: x86_64-w64-mingw32/x64 (64-bit)
+R version 4.4.1 (2024-06-14 ucrt) -- "Race for Your Life"
+Copyright (C) 2024 The R Foundation for Statistical Computing
+Platform: x86_64-w64-mingw32/x64
 
 R is free software and comes with ABSOLUTELY NO WARRANTY.
 You are welcome to redistribute it under certain conditions.
@@ -222,6 +222,10 @@ Loading required package: Matrix
 
 Attaching package: 'lfe'
 
+The following object is masked from 'package:fixest':
+
+    fepois
+
 The following object is masked from 'package:plm':
 
     sargan
@@ -757,4 +761,4 @@ The following object is masked from 'package:plm':
 > 
 > proc.time()
    user  system elapsed 
-   4.28    0.68    5.07 
+   2.73    0.37    3.17 

inst/tests/test_groupGenerics_pseries.Rout.save

@@ -1,7 +1,7 @@
 
-R version 4.2.1 (2022-06-23 ucrt) -- "Funny-Looking Kid"
-Copyright (C) 2022 The R Foundation for Statistical Computing
-Platform: x86_64-w64-mingw32/x64 (64-bit)
+R version 4.4.1 (2024-06-14 ucrt) -- "Race for Your Life"
+Copyright (C) 2024 The R Foundation for Statistical Computing
+Platform: x86_64-w64-mingw32/x64
 
 R is free software and comes with ABSOLUTELY NO WARRANTY.
 You are welcome to redistribute it under certain conditions.
@@ -136,7 +136,7 @@ F-statistic: 3064.81 on 4 and 764 DF, p-value: < 2.22e-16
 > if (!isTRUE(all.equal(zz$coefficients, zz2$coefficients))) stop("estimation results not equal")
 > 
 > 
-> ############# (3) assinging to a pdata.frame #############
+> ############# (3) assigning to a pdata.frame #############
 > ## test for assigning by $<- to a pdata.frame
 > ## pre rev. 634: decimals which had been integers previously were converted to integers with typeof == integer
 > ##               and gave wrong results.
@@ -1090,7 +1090,7 @@ F-statistic: 3064.81 on 4 and 764 DF, p-value: < 2.22e-16
 [1] "double"
 > 
 > y2 <- y / 10
-> class(y2) # c("myclass", "interger") - not propagated to c("myclass", "numeric")
+> class(y2) # c("myclass", "integer") - not propagated to c("myclass", "numeric")
 [1] "myclass" "integer"
 > mode(y2)
 [1] "numeric"
@@ -1175,4 +1175,4 @@ attr(,"class")
 > 
 > proc.time()
    user  system elapsed 
-   1.64    0.18    1.82 
+   1.45    0.26    1.70 

inst/tests/test_lag_lead.Rout.save

@@ -1,7 +1,7 @@
 
-R version 4.1.1 (2021-08-10) -- "Kick Things"
-Copyright (C) 2021 The R Foundation for Statistical Computing
-Platform: x86_64-w64-mingw32/x64 (64-bit)
+R version 4.4.1 (2024-06-14 ucrt) -- "Race for Your Life"
+Copyright (C) 2024 The R Foundation for Statistical Computing
+Platform: x86_64-w64-mingw32/x64
 
 R is free software and comes with ABSOLUTELY NO WARRANTY.
 You are welcome to redistribute it under certain conditions.
@@ -175,7 +175,7 @@ Levels: 1 2 3 4 5 6 7 8 9 10
      11      10       9       8       7       6       5       4       3       2 
 200 Levels: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 ... 200
 > if (!(length(unique(Grunfeld$fac)) == 200)) stop("wrong factor values") # 200
-> if (!(length(unique(plm:::lagr.pseries(Grunfeld$fac))) == 191)) stop("plm:::lagr.pseries: wrong actually uniquely occuring factor values")  # 191
+> if (!(length(unique(plm:::lagr.pseries(Grunfeld$fac))) == 191)) stop("plm:::lagr.pseries: wrong actually uniquely occurring factor values")  # 191
 > if (!(length(levels(plm:::lagr.pseries(Grunfeld$fac))) == 200)) stop("wrong factor levels")  # 200
 > 
 > # plm::lead eliminates e.g., level "200"
@@ -222,7 +222,7 @@ Levels: 1 2 3 4 5 6 7 8 9 10
       9       8       7       6       5       4       3       2       1    <NA> 
 200 Levels: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 ... 200
 > if (!(length(unique(Grunfeld$fac)) == 200)) stop("wrong factor levels") # 200
-> if (!(length(unique(plm:::leadr.pseries(Grunfeld$fac))) == 191)) stop("plm:::leadr.pseries: wrong actually uniquely occuring factor values") # 191
+> if (!(length(unique(plm:::leadr.pseries(Grunfeld$fac))) == 191)) stop("plm:::leadr.pseries: wrong actually uniquely occurring factor values") # 191
 > if (!(length(levels(plm:::leadr.pseries(Grunfeld$fac))) == 200)) stop("plm:::leadr.pseries: wrong factor levels")  # 200
 > 
 > 
@@ -1199,4 +1199,4 @@ FALSE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE
 > 
 > proc.time()
    user  system elapsed 
-   3.67    0.42    4.26 
+   1.59    0.17    1.75 

inst/tests/test_lagt_leadt.Rout.save

@@ -1,7 +1,7 @@
 
-R version 4.2.1 (2022-06-23 ucrt) -- "Funny-Looking Kid"
-Copyright (C) 2022 The R Foundation for Statistical Computing
-Platform: x86_64-w64-mingw32/x64 (64-bit)
+R version 4.4.1 (2024-06-14 ucrt) -- "Race for Your Life"
+Copyright (C) 2024 The R Foundation for Statistical Computing
+Platform: x86_64-w64-mingw32/x64
 
 R is free software and comes with ABSOLUTELY NO WARRANTY.
 You are welcome to redistribute it under certain conditions.
@@ -176,7 +176,7 @@ Levels: 1 2 3 4 5 6 7 8 9 10
      11      10       9       8       7       6       5       4       3       2 
 200 Levels: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 ... 200
 > if (!(length(unique(Grunfeld$fac)) == 200)) stop("wrong factor levels") # 200
-> if (!(length(unique(lag(Grunfeld$fac))) == 191)) stop("wrong actually uniquely occuring factor levels")  # 191
+> if (!(length(unique(lag(Grunfeld$fac))) == 191)) stop("wrong actually uniquely occurring factor levels")  # 191
 > if (!(length(levels(lag(Grunfeld$fac))) == 200)) stop("wrong factor levels")  # 200
 > 
 > # lead eliminates e.g., level "200"
@@ -1302,4 +1302,4 @@ In pdata.frame(dfNA) :
 > 
 > proc.time()
    user  system elapsed 
-   1.68    0.18    1.85 
+   2.31    0.42    2.85 

inst/tests/test_misc.Rout.save

@@ -1,7 +1,7 @@
 
-R version 4.2.2 (2022-10-31 ucrt) -- "Innocent and Trusting"
-Copyright (C) 2022 The R Foundation for Statistical Computing
-Platform: x86_64-w64-mingw32/x64 (64-bit)
+R version 4.4.1 (2024-06-14 ucrt) -- "Race for Your Life"
+Copyright (C) 2024 The R Foundation for Statistical Computing
+Platform: x86_64-w64-mingw32/x64
 
 R is free software and comes with ABSOLUTELY NO WARRANTY.
 You are welcome to redistribute it under certain conditions.
@@ -1505,8 +1505,10 @@ Wald test for time dummies: chisq(7) = 14.71138 (p-value = 0.039882)
 +              effect = "twoways", model = "twosteps",
 +              gmm.inst = ~log(emp), lag.gmm = list(c(2,99)))
 Warning messages:
-1: use of 'dynformula()' is deprecated, use a multi-part formula instead 
-2: use of 'dynformula()' is deprecated, use a multi-part formula instead 
+1: In dynformula(formula = log(emp) ~ log(wage) + log(capital) + log(output),  :
+  use of 'dynformula()' is deprecated, use a multi-part formula instead
+2: In dynformula(gmm.inst, lag.form = lag.gmm) :
+  use of 'dynformula()' is deprecated, use a multi-part formula instead
 > summary(z1, robust = FALSE)
 Twoways effects Two-steps model Difference GMM 
 
@@ -1546,8 +1548,10 @@ Wald test for time dummies: chisq(6) = 26.9045 (p-value = 0.0001509)
 +              gmm.inst = ~log(emp) + log(wage) + log(capital),
 +              lag.gmm = c(2,99), transformation = "ld")
 Warning messages:
-1: use of 'dynformula()' is deprecated, use a multi-part formula instead 
-2: use of 'dynformula()' is deprecated, use a multi-part formula instead 
+1: In dynformula(log(emp) ~ log(wage) + log(capital), list(1, 1, 1)) :
+  use of 'dynformula()' is deprecated, use a multi-part formula instead
+2: In dynformula(gmm.inst, lag.form = lag.gmm) :
+  use of 'dynformula()' is deprecated, use a multi-part formula instead
 > summary(z2, robust = TRUE)
 Twoways effects One-step model System GMM 
 
@@ -1588,7 +1592,8 @@ Wald test for time dummies: chisq(7) = 14.71138 (p-value = 0.039882)
 +          sex + black + bluecol + south + smsa + ind,
 +          data = Wages, model = "ht", index = 595)
 Warning message:
-uses of 'pht()' and 'plm(., model = "ht")' are discouraged, better use 'plm(., model = "random", random.method = "ht", inst.method = "baltagi"/"am"/"bms")' for Hausman-Taylor, Amemiya-MaCurdy, and Breusch-Mizon-Schmidt estimator 
+In pht(lwage ~ wks + south + smsa + married + exp + I(exp^2) + bluecol +  :
+  uses of 'pht()' and 'plm(., model = "ht")' are discouraged, better use 'plm(., model = "random", random.method = "ht", inst.method = "baltagi"/"am"/"bms")' for Hausman-Taylor, Amemiya-MaCurdy, and Breusch-Mizon-Schmidt estimator
 > summary(ht)
 Oneway (individual) effect Hausman-Taylor Model 
 (Hausman-Taylor estimator) 
@@ -1643,7 +1648,8 @@ Chisq: 6891.87 on 12 DF, p-value: < 2.22e-16
 +          sex + black + bluecol + south + smsa + ind,
 +          data = Wages, model = "am", index = 595)
 Warning message:
-uses of 'pht()' and 'plm(., model = "ht")' are discouraged, better use 'plm(., model = "random", random.method = "ht", inst.method = "baltagi"/"am"/"bms")' for Hausman-Taylor, Amemiya-MaCurdy, and Breusch-Mizon-Schmidt estimator 
+In pht(lwage ~ wks + south + smsa + married + exp + I(exp^2) + bluecol +  :
+  uses of 'pht()' and 'plm(., model = "ht")' are discouraged, better use 'plm(., model = "random", random.method = "ht", inst.method = "baltagi"/"am"/"bms")' for Hausman-Taylor, Amemiya-MaCurdy, and Breusch-Mizon-Schmidt estimator
 > summary(am)
 Oneway (individual) effect Hausman-Taylor Model 
 (Amemiya-MaCurdy estimator) 
@@ -1885,4 +1891,4 @@ Coefficients:
 > 
 > proc.time()
    user  system elapsed 
-  13.39    0.75   14.37 
+  10.04    0.75   10.76 

inst/tests/test_pcce_pmg.Rout.save

@@ -1,7 +1,7 @@
 
-R version 4.3.0 (2023-04-21 ucrt) -- "Already Tomorrow"
-Copyright (C) 2023 The R Foundation for Statistical Computing
-Platform: x86_64-w64-mingw32/x64 (64-bit)
+R version 4.4.1 (2024-06-14 ucrt) -- "Race for Your Life"
+Copyright (C) 2024 The R Foundation for Statistical Computing
+Platform: x86_64-w64-mingw32/x64
 
 R is free software and comes with ABSOLUTELY NO WARRANTY.
 You are welcome to redistribute it under certain conditions.
@@ -8332,10 +8332,10 @@ WYOMING-1986        -1.248207e-03 -1.020804e-01 -2.996379e-02  0.5683338321
 > # vcovXX
 > vcovHC(pccemgmod)
               log(pcap)       log(pc)      log(emp)         unemp
-log(pcap)  1.438222e-15 -4.704070e-17  6.919599e-16  4.396291e-18
-log(pc)   -4.698838e-17  1.597205e-18 -2.275796e-17 -1.447567e-19
-log(emp)   6.920293e-16 -2.290015e-17  3.337731e-16  2.122364e-18
-unemp      4.397651e-18 -1.461715e-19  2.123456e-18  1.351272e-20
+log(pcap)  1.438205e-15 -4.701335e-17  6.919188e-16  4.395993e-18
+log(pc)   -4.697937e-17  1.584901e-18 -2.274286e-17 -1.447705e-19
+log(emp)   6.920185e-16 -2.274348e-17  3.338970e-16  2.123371e-18
+unemp      4.397136e-18 -1.446445e-19  2.123785e-18  1.351029e-20
 attr(,"cluster")
 [1] "group"
 > vcovHC(pccepmod)
@@ -8349,10 +8349,10 @@ attr(,"cluster")
 > 
 > vcovHC(pccemgmod_unbal)
              log(pcap)      log(pc)     log(emp)         unemp
-log(pcap) 1.030052e-18 1.766303e-19 3.393092e-19  2.021816e-21
-log(pc)   1.999640e-19 2.295395e-20 5.191246e-20 -2.254747e-22
-log(emp)  2.777390e-19 6.198624e-20 1.329175e-19  1.476310e-21
-unemp     1.369783e-21 1.191913e-22 9.951117e-22  9.686219e-24
+log(pcap) 1.022578e-18 1.701106e-19 2.859291e-19  2.108684e-21
+log(pc)   1.675301e-19 3.376572e-20 6.811090e-20  5.342066e-22
+log(emp)  3.258246e-19 6.893985e-20 1.623706e-19  6.085322e-22
+unemp     2.501125e-21 8.002402e-23 9.226476e-22 -1.254200e-24
 attr(,"cluster")
 [1] "group"
 > vcovHC(pccepmod_unbal)
@@ -17118,4 +17118,4 @@ Multiple R-squared: 0.99982
 > 
 > proc.time()
    user  system elapsed 
-   2.65    0.40    3.06 
+   2.73    0.46    3.18 

inst/tests/test_pgmm.Rout.save

@@ -1,7 +1,7 @@
 
-R version 4.3.0 (2023-04-21 ucrt) -- "Already Tomorrow"
-Copyright (C) 2023 The R Foundation for Statistical Computing
-Platform: x86_64-w64-mingw32/x64 (64-bit)
+R version 4.4.1 (2024-06-14 ucrt) -- "Race for Your Life"
+Copyright (C) 2024 The R Foundation for Statistical Computing
+Platform: x86_64-w64-mingw32/x64
 
 R is free software and comes with ABSOLUTELY NO WARRANTY.
 You are welcome to redistribute it under certain conditions.
@@ -716,10 +716,10 @@ Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
 Sargan test: chisq(27) = 28.86345 (p-value = 0.36755)
 Autocorrelation test (1): normal = -4.750024 (p-value = 2.0339e-06)
 Autocorrelation test (2): normal = 1.857129 (p-value = 0.063293)
-Wald test for coefficients: chisq(26) = 6139.501 (p-value = < 2.22e-16)
+Wald test for coefficients: chisq(26) = 6139.5 (p-value = < 2.22e-16)
 Warning message:
 In vcovHC.pgmm(object) : a general inverse is used
 > 
 > proc.time()
    user  system elapsed 
-   7.21    0.53    7.81 
+   7.73    0.81    8.48 

inst/tests/test_pht.Rout.save

@@ -1,7 +1,7 @@
 
-R version 4.2.0 (2022-04-22 ucrt) -- "Vigorous Calisthenics"
-Copyright (C) 2022 The R Foundation for Statistical Computing
-Platform: x86_64-w64-mingw32/x64 (64-bit)
+R version 4.4.1 (2024-06-14 ucrt) -- "Race for Your Life"
+Copyright (C) 2024 The R Foundation for Statistical Computing
+Platform: x86_64-w64-mingw32/x64
 
 R is free software and comes with ABSOLUTELY NO WARRANTY.
 You are welcome to redistribute it under certain conditions.
@@ -25,7 +25,8 @@ Type 'q()' to quit R.
 +             sex + black + bluecol + south + smsa + ind,
 +           data = Wages, model = "ht", index = 595)
 Warning message:
-uses of 'pht()' and 'plm(., model = "ht")' are discouraged, better use 'plm(., model = "random", random.method = "ht", inst.method = "baltagi"/"am"/"bms")' for Hausman-Taylor, Amemiya-MaCurdy, and Breusch-Mizon-Schmidt estimator 
+In pht(lwage ~ wks + south + smsa + married + exp + I(exp^2) + bluecol +  :
+  uses of 'pht()' and 'plm(., model = "ht")' are discouraged, better use 'plm(., model = "random", random.method = "ht", inst.method = "baltagi"/"am"/"bms")' for Hausman-Taylor, Amemiya-MaCurdy, and Breusch-Mizon-Schmidt estimator
 > summary(ht)
 Oneway (individual) effect Hausman-Taylor Model 
 (Hausman-Taylor estimator) 
@@ -81,7 +82,8 @@ Chisq: 6891.87 on 12 DF, p-value: < 2.22e-16
 +             sex + black + bluecol + south + smsa + ind,
 +           data = Wages, model = "am", index = 595)
 Warning message:
-uses of 'pht()' and 'plm(., model = "ht")' are discouraged, better use 'plm(., model = "random", random.method = "ht", inst.method = "baltagi"/"am"/"bms")' for Hausman-Taylor, Amemiya-MaCurdy, and Breusch-Mizon-Schmidt estimator 
+In pht(lwage ~ wks + south + smsa + married + exp + I(exp^2) + bluecol +  :
+  uses of 'pht()' and 'plm(., model = "ht")' are discouraged, better use 'plm(., model = "random", random.method = "ht", inst.method = "baltagi"/"am"/"bms")' for Hausman-Taylor, Amemiya-MaCurdy, and Breusch-Mizon-Schmidt estimator
 > summary(ht2)
 Oneway (individual) effect Hausman-Taylor Model 
 (Amemiya-MaCurdy estimator) 
@@ -136,7 +138,8 @@ Chisq: 6879.2 on 12 DF, p-value: < 2.22e-16
 +             sex + black + bluecol + south + smsa + ind,
 +           data = Wages, model = "bms", index = 595)
 Warning message:
-uses of 'pht()' and 'plm(., model = "ht")' are discouraged, better use 'plm(., model = "random", random.method = "ht", inst.method = "baltagi"/"am"/"bms")' for Hausman-Taylor, Amemiya-MaCurdy, and Breusch-Mizon-Schmidt estimator 
+In pht(lwage ~ wks + south + smsa + married + exp + I(exp^2) + bluecol +  :
+  uses of 'pht()' and 'plm(., model = "ht")' are discouraged, better use 'plm(., model = "random", random.method = "ht", inst.method = "baltagi"/"am"/"bms")' for Hausman-Taylor, Amemiya-MaCurdy, and Breusch-Mizon-Schmidt estimator
 > summary(ht3)
 Oneway (individual) effect Hausman-Taylor Model 
 (Breusch-Mizon-Schmidt estimator) 
@@ -191,7 +194,8 @@ Chisq: 6467.37 on 12 DF, p-value: < 2.22e-16
 +             sex + black + bluecol + south + smsa + ind, model = "ht",
 +            data = Wages, index = 595)
 Warning message:
-uses of 'pht()' and 'plm(., model = "ht")' are discouraged, better use 'plm(., model = "random", random.method = "ht", inst.method = "baltagi"/"am"/"bms")' for Hausman-Taylor, Amemiya-MaCurdy, and Breusch-Mizon-Schmidt estimator 
+In pht(formula = lwage ~ wks + south + smsa + married + exp + I(exp^2) +  :
+  uses of 'pht()' and 'plm(., model = "ht")' are discouraged, better use 'plm(., model = "random", random.method = "ht", inst.method = "baltagi"/"am"/"bms")' for Hausman-Taylor, Amemiya-MaCurdy, and Breusch-Mizon-Schmidt estimator
 > summary(ht4)
 Oneway (individual) effect Hausman-Taylor Model 
 (Hausman-Taylor estimator) 
@@ -417,4 +421,4 @@ Chisq: 6467.37 on 12 DF, p-value: < 2.22e-16
 > 
 > proc.time()
    user  system elapsed 
-   2.85    0.43    3.21 
+   3.03    0.29    3.34 

inst/tests/test_plmtest_unbalanced.Rout.save

@@ -1,7 +1,7 @@
 
-R version 4.2.0 (2022-04-22 ucrt) -- "Vigorous Calisthenics"
-Copyright (C) 2022 The R Foundation for Statistical Computing
-Platform: x86_64-w64-mingw32/x64 (64-bit)
+R version 4.4.1 (2024-06-14 ucrt) -- "Race for Your Life"
+Copyright (C) 2024 The R Foundation for Statistical Computing
+Platform: x86_64-w64-mingw32/x64
 
 R is free software and comes with ABSOLUTELY NO WARRANTY.
 You are welcome to redistribute it under certain conditions.
@@ -44,7 +44,7 @@ Type 'q()' to quit R.
 > # [...]
 > 
 > ##### Grunfeld data set - balanced ####
-> # Table 4.2 [Output from EViews], similiar to above table but with p-values
+> # Table 4.2 [Output from EViews], similar to above table but with p-values
 > ##### EViews add-in BPTest for some older version of EViews needed:
 > ##### http://www.eviews.com/Addins/addins.shtml#addins
 > ##### http://forums.eviews.com/viewtopic.php?f=23&t=2228
@@ -628,7 +628,7 @@ chibarsq
 > #                       , data = pnlswork, model = "pooling")
 > # 
 > # 
-> # # Reassembles Exmaple 1 in http://www.stata.com/manuals14/xtxtregpostestimation.pdf
+> # # Reassembles Example 1 in http://www.stata.com/manuals14/xtxtregpostestimation.pdf
 > # # use modified plmtest() as a wrapper
 > # options(digits = 10)
 > # plmtest(plm_pool_nlswork, type="bp")
@@ -642,4 +642,4 @@ chibarsq
 > 
 > proc.time()
    user  system elapsed 
-   1.82    0.23    2.04 
+   2.09    0.25    2.31