Log likelihood for normal distribution
llikNorm(x, mean = 0, sd = 1, full = FALSE)
Observation
Mean for the likelihood
Standard deviation for the likelihood
Add the data frame showing x, mean, sd as well as the fx and derivatives
data frame with fx
for the pdf value of with dMean
and
dSd
that has the derivatives with respect to the parameters at
the observation time-point
llikNorm(0)
#> fx dMean dSd
#> 1 -0.9189385 0 -1
llikNorm(seq(-2,2,length.out=10), full=TRUE)
#> x mean sd fx dMean dSd
#> 1 -2.0000000 0 1 -2.9189385 -2.0000000 3.0000000
#> 2 -1.5555556 0 1 -2.1288151 -1.5555556 1.4197531
#> 3 -1.1111111 0 1 -1.5362225 -1.1111111 0.2345679
#> 4 -0.6666667 0 1 -1.1411608 -0.6666667 -0.5555556
#> 5 -0.2222222 0 1 -0.9436299 -0.2222222 -0.9506173
#> 6 0.2222222 0 1 -0.9436299 0.2222222 -0.9506173
#> 7 0.6666667 0 1 -1.1411608 0.6666667 -0.5555556
#> 8 1.1111111 0 1 -1.5362225 1.1111111 0.2345679
#> 9 1.5555556 0 1 -2.1288151 1.5555556 1.4197531
#> 10 2.0000000 0 1 -2.9189385 2.0000000 3.0000000