summary.mcmcComposite
(Package: HelpersMG) :
Summarize the result of a mcmcComposite object
Summary for the result of a mcmcComposite object.
● Data Source:
CranContrib
● Keywords:
● Alias: summary.mcmcComposite
●
0 images
|
minmax.periodic
(Package: HelpersMG) :
Search for minimum and maximum indices in periodic timeseries
Search for minimum and maximum for periodic timeseries when only intermediate values are known.
For each couple of value with an increasing or decreasing segment of the sinusoid function, it is possible to estimate a minimum and maximum values using analytical algebra.
Then the average and standard deviations of all minima and maxima are evaluated.
It should be noted that any extremum can be estimated at least twice, one by increasing segment and one by decreasing segment. Both are used here to produce SD.
time.minmax.daily should be used when the time at which maximum and minimum indices are regular and time.minmax permits to define this time day by day.
● Data Source:
CranContrib
● Keywords:
● Alias: minmax.periodic
●
0 images
|
predict.LD50
(Package: HelpersMG) :
Estimate survival according to doses
Estimate survival according to doses.
The returned data.frame has the following components:
doses, SE, survival, CI.minus.sexratio, CI.plus.sexratio, range.CI
● Data Source:
CranContrib
● Keywords:
● Alias: predict.LD50
●
0 images
|
pSnbinom
(Package: HelpersMG) :
Distribution function for the sum of random variable with negative binomial distributions.
Distribution function for the sum of random variable with negative binomial distributions.
● Data Source:
CranContrib
● Keywords:
● Alias: pSnbinom
●
0 images
|
newmap.scale
(Package: HelpersMG) :
Add Scale to Existing Unprojected Map
Adds a scale to an existing map, both as a ratio and a distance gauge. If x or y are not specified, this will be taken to be near the lower left corner of the map.
● Data Source:
CranContrib
● Keywords:
● Alias: newmap.scale
●
0 images
|
plot_errbar
(Package: HelpersMG) :
Plot a xy graph with error bar on x and/or y
To plot data, just use it as a normal plot but add the errbar.x and errbar.y values or errbar.x.minus, errbar.x.plus if bars for x axis are asymetric and errbar.y.minus, errbar.y.plus if bars for y axis are asymetric. Use x.plus, x.minus, y.plus and y.minus to set absolut limits for error bars. Note that x.plus and x.minus have priority over errbar.x, errbar.x.minus and errbar.x.plus and that y.plus and y.minus have priority over errbar.y, errbar.y.minus and errbar.y.plus.
The parameter errbar.y.polygon=TRUE permits to define error as an envolop for y axis.
● Data Source:
CranContrib
● Keywords:
● Alias: plot_errbar
●
3 images
|
qSnbinom
(Package: HelpersMG) :
Quantile function for the sum of random variable with negative binomial distributions.
Quantile function for the sum of random variable with negative binomial distributions.
● Data Source:
CranContrib
● Keywords:
● Alias: qSnbinom
●
0 images
|
ChangeCoordinate
(Package: HelpersMG) :
Return a value in a changed coordinate
Return a value in a changed coordinate system.
● Data Source:
CranContrib
● Keywords:
● Alias: ChangeCoordinate
●
0 images
|
|
This function was part of the package ENA. This package is no more available and it cannot be installed from archive because some dependencies are no more available.
● Data Source:
CranContrib
● Keywords:
● Alias: symmetricize
●
0 images
|
as.parameters
(Package: HelpersMG) :
Extract parameters from mcmcComposite object
Take a mcmcComposite object and create a vector object with parameter value at specified iteration.
If index="best", the function will return the parameters for the highest likelihood. It also indicates at which iteration the maximum lihelihood has been observed.
If index="last", the fuction will return the parameters for the last likelihood.
index can also be a numeric value.
● Data Source:
CranContrib
● Keywords:
● Alias: as.parameters
●
0 images
|
providing 
.