Compute the disaggregated or interpolated (and extrapolated) high frequency series of a temporal disaggregation.
Usage
# S3 method for class 'td'
predict(object, ...)Arguments
- object
an object of class
"td", usually, a result of a call totd().- ...
further arguments passed to or from other methods.
Value
summary.td returns a vector or a "ts" object,
containing the disaggregated or interpolated high frequency series of a
temporal disaggregation.
See also
td() for the main function for temporal disaggregation.
Examples
data(swisspharma)
mod1 <- td(sales.a ~ imports.q + exports.q)
predict(mod1)
#> Qtr1 Qtr2 Qtr3 Qtr4
#> 1972 30.92086 31.23889 29.78171 32.27067
#> 1973 32.35422 32.84792 32.85784 34.10196
#> 1974 39.47025 40.69984 38.46029 36.65510
#> 1975 35.11779 34.82041 32.48789 34.27624
#> 1976 37.84629 39.02815 36.56478 37.61685
#> 1977 39.02275 40.29747 38.39476 38.46743
#> 1978 39.91169 40.32615 37.84439 39.12545
#> 1979 40.22602 41.56706 39.74015 40.80078
#> 1980 44.36652 42.40236 40.30860 41.40814
#> 1981 46.70267 46.24630 45.14263 45.77303
#> 1982 47.69230 46.36110 44.27635 47.92717
#> 1983 48.32801 49.44826 47.72594 49.98212
#> 1984 54.29249 52.95530 51.77884 55.25427
#> 1985 58.20494 59.59345 55.37611 56.14366
#> 1986 59.41189 60.66635 56.15659 56.15913
#> 1987 60.76145 59.90612 56.70150 60.15124
#> 1988 64.79898 64.68233 61.86525 65.99558
#> 1989 70.89945 73.52238 66.35911 71.16761
#> 1990 78.71726 74.62123 68.95746 71.27231
#> 1991 78.40595 77.23900 72.80115 76.71982
#> 1992 87.00256 82.54501 76.50704 79.43290
#> 1993 88.32953 89.08146 82.58598 84.40946
#> 1994 101.20532 94.90136 91.35798 95.32699
#> 1995 102.60870 102.26878 97.64144 97.48108
#> 1996 107.40253 106.96596 102.57931 104.65037
#> 1997 111.57414 120.00760 111.98507 118.37374
#> 1998 122.59313 122.10487 114.51589 114.54841
#> 1999 123.98198 125.05152 125.93892 138.62481
#> 2000 138.10540 131.69691 131.03569 132.81834
#> 2001 158.41534 160.63385 149.05655 150.57611
#> 2002 168.07819 178.66158 163.31288 153.55086
#> 2003 182.05333 172.76757 165.73091 170.75742
#> 2004 190.76797 184.13570 179.19775 177.64244
#> 2005 191.92244 200.03597 190.51025 194.82819
#> 2006 214.80078 213.48976 206.32029 220.08415
#> 2007 257.97842 254.05432 249.19027 243.70797
#> 2008 253.97254 269.25485 251.37049 225.77347
#> 2009 258.22217 260.67116 265.51948 261.22649
#> 2010 257.38264 253.43862 240.03877 237.44964
#> 2011 270.77999 262.67096