Random Effects P-Spline

This smooth constructor implements the random effects representation of a P-spline.

# S3 method for sr.smooth.spec
smooth.construct(object, data, knots, ...)

Arguments

object, data, knots

See smooth.construct.

...

Currently not used.

Value

See smooth.construct

See also

bamlss, predict.bamlss, opt_bfit, opt_boost

Examples

if (FALSE) ## Simulate data.
set.seed(123)
d <- GAMart()

## Estimate model.
f <- num ~ x1 + x2 + x3 + s2(x1,bs="sr") + s2(x2,bs="sr") + s2(x3,bs="sr")

b <- bamlss(f, data = d, optimizer = boost, sampler = FALSE)
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#> logLik -16.5731 eps 0.0037 iteration 351 qsel 5
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#> logLik -16.5007 eps 0.0035 iteration 353 qsel 5
#> logLik -16.4654 eps 0.0007 iteration 354 qsel 5
#> logLik -16.4300 eps 0.0029 iteration 355 qsel 5
#> logLik -16.3965 eps 0.0034 iteration 356 qsel 5
#> logLik -16.3631 eps 0.0027 iteration 357 qsel 5
#> logLik -16.3313 eps 0.0035 iteration 358 qsel 5
#> logLik -16.2997 eps 0.0026 iteration 359 qsel 5
#> logLik -16.2695 eps 0.0040 iteration 360 qsel 5
#> logLik -15.8175 eps 0.0095 iteration 361 qsel 5
#> logLik -15.7843 eps 0.0006 iteration 362 qsel 5
#> logLik -15.7531 eps 0.0033 iteration 363 qsel 5
#> logLik -15.7183 eps 0.0027 iteration 364 qsel 5
#> logLik -15.4067 eps 0.0873 iteration 365 qsel 5
#> logLik -15.3740 eps 0.0048 iteration 366 qsel 5
#> logLik -15.3395 eps 0.0073 iteration 367 qsel 5
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#> logLik -15.2758 eps 0.0063 iteration 369 qsel 5
#> logLik -15.2455 eps 0.0006 iteration 370 qsel 5
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#> logLik -15.1850 eps 0.0119 iteration 372 qsel 5
#> logLik -14.9898 eps 0.0350 iteration 373 qsel 5
#> logLik -14.5695 eps 0.0104 iteration 374 qsel 5
#> logLik -14.5382 eps 0.0042 iteration 375 qsel 5
#> logLik -14.5058 eps 0.0034 iteration 376 qsel 5
#> logLik -14.4760 eps 0.0190 iteration 377 qsel 5
#> logLik -14.4454 eps 0.0037 iteration 378 qsel 5
#> logLik -14.4155 eps 0.0006 iteration 379 qsel 5
#> logLik -14.3871 eps 0.0045 iteration 380 qsel 5
#> logLik -14.3581 eps 0.0032 iteration 381 qsel 5
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#> logLik -14.0607 eps 0.0025 iteration 383 qsel 5
#> logLik -14.0297 eps 0.0044 iteration 384 qsel 5
#> logLik -14.0030 eps 0.0006 iteration 385 qsel 5
#> logLik -13.9766 eps 0.0025 iteration 386 qsel 5
#> logLik -13.9474 eps 0.0121 iteration 387 qsel 5
#> logLik -13.5501 eps 0.0108 iteration 388 qsel 5
#> logLik -13.5199 eps 0.0036 iteration 389 qsel 5
#> logLik -13.4903 eps 0.0025 iteration 390 qsel 5
#> logLik -13.4617 eps 0.0040 iteration 391 qsel 5
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#> logLik -13.4066 eps 0.0338 iteration 393 qsel 5
#> logLik -13.3801 eps 0.0041 iteration 394 qsel 5
#> logLik -13.3544 eps 0.0037 iteration 395 qsel 5
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#> logLik -13.3036 eps 0.0024 iteration 397 qsel 5
#> logLik -13.0673 eps 0.0087 iteration 398 qsel 5
#> logLik -12.7780 eps 0.0093 iteration 399 qsel 5
#> logLik -12.4116 eps 0.0109 iteration 400 qsel 5
#> 
#>  elapsed time:  0.95sec


plot(b)