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log likelihood of Cauchy distribution and it's derivatives (from stan)

Usage

llikCauchy(x, location = 0, scale = 1, full = FALSE)

Arguments

x

Observation

location, scale

location and scale parameters.

full

Add the data frame showing x, mean, sd as well as the fx and derivatives

Value

data frame with fx for the log pdf value of with dLocation and dScale that has the derivatives with respect to the parameters at the observation time-point

Details

In an rxode2() model, you can use llikCauchy() but you have to use all arguments. You can also get the derivative of location and scale with llikCauchyDlocation() and llikCauchyDscale().

Author

Matthew L. Fidler

Examples

# \donttest{
x <- seq(-3, 3, length.out = 21)

llikCauchy(x, 0, 1)
#>           fx  dLocation     dScale
#> 1  -3.447315 -0.6000000  0.8000000
#> 2  -3.259780 -0.6513872  0.7587455
#> 3  -3.055753 -0.7100592  0.7041420
#> 4  -2.832979 -0.7763401  0.6303142
#> 5  -2.589293 -0.8490566  0.5283019
#> 6  -2.323385 -0.9230769  0.3846154
#> 7  -2.036728 -0.9836066  0.1803279
#> 8  -1.738057 -0.9944751 -0.1049724
#> 9  -1.452215 -0.8823529 -0.4705882
#> 10 -1.230908 -0.5504587 -0.8348624
#> 11 -1.144730  0.0000000 -1.0000000
#> 12 -1.230908  0.5504587 -0.8348624
#> 13 -1.452215  0.8823529 -0.4705882
#> 14 -1.738057  0.9944751 -0.1049724
#> 15 -2.036728  0.9836066  0.1803279
#> 16 -2.323385  0.9230769  0.3846154
#> 17 -2.589293  0.8490566  0.5283019
#> 18 -2.832979  0.7763401  0.6303142
#> 19 -3.055753  0.7100592  0.7041420
#> 20 -3.259780  0.6513872  0.7587455
#> 21 -3.447315  0.6000000  0.8000000

llikCauchy(x, 3, 1, full=TRUE)
#>       x location scale        fx  dLocation     dScale
#> 1  -3.0        3     1 -4.755648 -0.3243243  0.9459459
#> 2  -2.7        3     1 -4.655977 -0.3404001  0.9402807
#> 3  -2.4        3     1 -4.551246 -0.3580902  0.9336870
#> 4  -2.1        3     1 -4.440937 -0.3776379  0.9259534
#> 5  -1.8        3     1 -4.324449 -0.3993344  0.9168053
#> 6  -1.5        3     1 -4.201087 -0.4235294  0.9058824
#> 7  -1.2        3     1 -4.070040 -0.4506438  0.8927039
#> 8  -0.9        3     1 -3.930358 -0.4811845  0.8766194
#> 9  -0.6        3     1 -3.780926 -0.5157593  0.8567335
#> 10 -0.3        3     1 -3.620428 -0.5550883  0.8317914
#> 11  0.0        3     1 -3.447315 -0.6000000  0.8000000
#> 12  0.3        3     1 -3.259780 -0.6513872  0.7587455
#> 13  0.6        3     1 -3.055753 -0.7100592  0.7041420
#> 14  0.9        3     1 -2.832979 -0.7763401  0.6303142
#> 15  1.2        3     1 -2.589293 -0.8490566  0.5283019
#> 16  1.5        3     1 -2.323385 -0.9230769  0.3846154
#> 17  1.8        3     1 -2.036728 -0.9836066  0.1803279
#> 18  2.1        3     1 -1.738057 -0.9944751 -0.1049724
#> 19  2.4        3     1 -1.452215 -0.8823529 -0.4705882
#> 20  2.7        3     1 -1.230908 -0.5504587 -0.8348624
#> 21  3.0        3     1 -1.144730  0.0000000 -1.0000000

et <- et(-3, 3, length.out=10)
et$location <- 0
et$scale <- 1

model <- function() {
  model({
    fx <- llikCauchy(time, location, scale)
    dLocation <- llikCauchyDlocation(time, location, scale)
    dScale <- llikCauchyDscale(time, location, scale)
  })
}

rxSolve(model, et)
#>  
#>  
#>  parameter labels from comments are typically ignored in non-interactive mode
#>  Need to run with the source intact to parse comments
#>  
#>  
#> using C compiler: ‘gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0’
#> Warning: 
#> with negative times, compartments initialize at first negative observed time
#> with positive times, compartments initialize at time zero
#> use 'rxSetIni0(FALSE)' to initialize at first observed time
#> this warning is displayed once per session
#> ── Solved rxode2 object ──
#> ── Parameters (value$params): ──
#> # A tibble: 1 × 0
#> ── Initial Conditions (value$inits): ──
#> named numeric(0)
#> ── First part of data (object): ──
#> # A tibble: 10 × 6
#>     time    fx dLocation dScale location scale
#>    <dbl> <dbl>     <dbl>  <dbl>    <dbl> <dbl>
#> 1 -3     -3.45    -0.6    0.8          0     1
#> 2 -2.33  -3.01    -0.724  0.690        0     1
#> 3 -1.67  -2.47    -0.882  0.471        0     1
#> 4 -1     -1.84    -1      0            0     1
#> 5 -0.333 -1.25    -0.6   -0.8          0     1
#> 6  0.333 -1.25     0.600 -0.8          0     1
#> # ℹ 4 more rows
# }