grofit: S3

Comparing BGFit with R model and part of grofit experiment

Test estimations with grofit package

Description

Best fit by R - grofit

Nonlinear regression model
model: data ~ richards(time, A, miu, lambda, v)
data: parent.frame()
A miu lambda v
0.2270059134 0.038460916 6.3791882 15.2514

Measured data (65 lines)

X	Y	Z	Note
0.0	0.018
0.25	0.021
0.5	0.016
0.75	0.02
1.0	0.024
1.25	0.023
1.5	0.025
1.75	0.027
2.0	0.025
2.25	0.028
2.5	0.029
2.75	0.031
3.0	0.035
3.25	0.038
3.5	0.038
3.75	0.041
4.0	0.043
4.25	0.046
4.5	0.046
4.75	0.048
5.0	0.049
5.25	0.052
5.5	0.055
5.75	0.058
6.0	0.059
6.25	0.062
6.5	0.065
6.75	0.067
7.0	0.07
7.25	0.072
7.5	0.075
7.75	0.08
8.0	0.083
8.25	0.089
8.5	0.094
8.75	0.097
9.0	0.1
9.25	0.105
9.5	0.11
9.75	0.115
10.0	0.121
10.25	0.128
10.5	0.132
10.75	0.142
11.0	0.146
11.25	0.153
11.5	0.16
11.75	0.169
12.0	0.176
12.25	0.184
12.5	0.193
12.75	0.2
13.0	0.207
13.25	0.213
13.5	0.218
13.75	0.226
14.0	0.23
14.25	0.231
14.5	0.23
14.75	0.231
15.0	0.23
15.25	0.23
15.5	0.23
15.75	0.231
16.0	0.228

Download table as .csv

Manual Regression Results

Manual regression was not calculated, click here to calculate now

Proxy Models (4)

Model	Params	RMSE
Richards (log y = false)	A=0.23064491645607, lambda=6.69197699594951, miu=0.03718382445916, v=15.2514188228498	0.0016	goto	download .csv
Richards (log y = false): grofit	A=0.2270059134, lambda=6.3791882, miu=0.038460916, v=15.2514	0.00709	goto	download .csv
Baranyi	h0=11.7884212996757, m=1.15893748508143, μ max.=1.10929035032544, v=0.99471691862834, y0=-4.01925608274316, ymax=0.0	0.00193	goto	download .csv
Richards (log y = false): sv	A=-10.0, lambda=20.0, miu=0.04539952823937, v=10.0	0.01863	goto	download .csv