similar to: Inversing a non-monotonic spline

I get the following error: Error in backSpline.npolySpline(sp) : spline must be monotone Has anyone had this error before? any ideas on a workaround? > > vols=read.csv(file="C:/Documents and Settings/Hugh/My > Documents/PhD/Swaption vols.csv" + , header=TRUE, sep=",") > X<-ts(vols[,2]) > #X > > > dcOU<-function(x,t,x0,theta,log=FALSE){ +

I apologize for posting on this question again, but unfortunately, I don't have and can't get access to MASS for at least three weeks. I have found some code on the web however which implements the prediction error algorithm in cv.glm. http://www.bioconductor.org/workshops/NGFN03/modelsel-exercise.pdf Now I've tried to adapt it to my purposes, but since I'm not deeply familiar

Hi,   I have a system in which I analyze 2 subjects and 1 variable, so I have 2 models as follow:   y ~ x_1[, 1] + x_2[, 1] + x_1[, 2] + x_2[, 2]   Where   x_1[, i] = cos(2 * pi * t / T_i) x_2[, i] = sin(2 * pi * t / T_i)   i = 1, 2   Data have two columns: t and y.   As you can see, I have a multiple components model, with rithm and without trends, and I have a fundamental

I'm sure I'm doing something completely boneheaded here, but I've used this idiom (constructing an interpolation spline and using prediction from a backSpline to find an approximation profile confidence interval) many times before and haven't hit this particular problem: r2 <- c(1.04409027570601, 1.09953936543359, 1.15498845516117, 1.21043754488875,

Hi: I have a few clarification questions about the elements returned by the coxph function used in conjuction with a frailty term. I create the following group variable: group <- NULL group[id<50] <- 1 group[id>=50 & id<100] <- 2 group[id>=100 & id<150] <- 3 group[id>=150 & id<200] <- 4 group[id>=200 & id<250] <- 5 group[id>=250

Hello I am looking for a function to create an Integrated (I) spline basis, somehting similar to the likes of 'bs' and 'ns'. I have come across the funcitons, fda::eval.monfd Values of a Monotone Functional Data Object fda::/.fd FDA internal functions fda::monfn Evaluates a monotone function fda::smooth.monotone Monotone

This post is NOT a question, but an answer. For readers please disregard all earlier posts by myself about this question. I'm posting for two reasons. First to say thanks, especially to Dimitris, for suggesting the use of errorest in the ipred library. Second, so that the solution to this problem is in the archives in case it gets asked again. If one wants to run a k-fold cross-validation

On 01/28/2018 04:05 PM, Martin Peres wrote: > On 29/01/18 01:24, Martin Peres wrote: >> On 28/11/17 07:32, John Hubbard wrote: >>> On 11/23/2017 02:48 PM, Martin Peres wrote: >>>> On 23/11/17 10:06, John Hubbard wrote: >>>>> On 11/22/2017 05:07 PM, Martin Peres wrote: >>>>>> Hey, >>>>>> >>>>>> Thanks

On 11/23/2017 02:48 PM, Martin Peres wrote: > On 23/11/17 10:06, John Hubbard wrote: >> On 11/22/2017 05:07 PM, Martin Peres wrote: >>> Hey, >>> >>> Thanks for your answer, Andy! >>> >>> On 22/11/17 04:06, Ilia Mirkin wrote: >>>> On Tue, Nov 21, 2017 at 8:29 PM, Andy Ritger <aritger at nvidia.com> wrote: >>>>

I am estimating a large model by groups. How do you save the results and?returns the associated quantiles? For this example I need a data frame n?? ?xi??????? mu????????beta 1?? 0.1033614? 2.5389580 0.9092611 2? ?0.3401922? 0.5192882 1.5290615 3?? 0.5130798? 0.5668308 1.2105666 I also want to apply gevrlevelPlot() for each "n" or group. ? #Example n <- c(1, 1, 1, 1, 1, 1, 2, 2, 2,

On 29/01/18 01:24, Martin Peres wrote: > On 28/11/17 07:32, John Hubbard wrote: >> On 11/23/2017 02:48 PM, Martin Peres wrote: >>> On 23/11/17 10:06, John Hubbard wrote: >>>> On 11/22/2017 05:07 PM, Martin Peres wrote: >>>>> Hey, >>>>> >>>>> Thanks for your answer, Andy! >>>>> >>>>> On 22/11/17

On 23/11/17 10:06, John Hubbard wrote: > On 11/22/2017 05:07 PM, Martin Peres wrote: >> Hey, >> >> Thanks for your answer, Andy! >> >> On 22/11/17 04:06, Ilia Mirkin wrote: >>> On Tue, Nov 21, 2017 at 8:29 PM, Andy Ritger <aritger at nvidia.com> wrote: >>> Martin's question was very long, but it boils down to this: >>>

Hi Guenter, > For automatic fan control we don't really have a well defined ABI. > Part of the problem is that the mechanisms used by various chips are > quite different. > > Please have a look into Documentation/hwmon/nct6775. It is by far > the driver with the most comprehensive fan control mechanisms and > attributes. Would any of the attributes or atribute groups in

I am trying to build/install libguestfs from git. My box is Archlinux, GCC 4.9.1 and all dev tools installed. If I manually $ gitclone gitUrl $ cd libguestfs $ ./autogen.sh $ ./configure --someOptions the build goes until the end and leaves me with binaries. ------------------------------ --- Now I want to install it properly on my machine. Arch use a makepkg [1] command to build and install

On 01/28/2018 04:05 PM, Martin Peres wrote: > On 29/01/18 01:24, Martin Peres wrote: >> On 28/11/17 07:32, John Hubbard wrote: >>> On 11/23/2017 02:48 PM, Martin Peres wrote: >>>> On 23/11/17 10:06, John Hubbard wrote: >>>>> On 11/22/2017 05:07 PM, Martin Peres wrote: >>>>>> Hey, >>>>>> >>>>>> Thanks

https://bugs.freedesktop.org/show_bug.cgi?id=71455 --- Comment #2 from Bob Gleitsmann <rjgleits at bellsouth.net> --- Here is an additional data point. The problematic kernel sets 0xb20010f0 to 0x83ff03ff. The driver reports that the PWM is 100%. In fact it is 100% off. As can be expected, the temperature immediately begins repidly rising. Interestingly, the card seems to self protect by

On 07/16/2014 11:29 PM, Gianni Vialetto wrote: > Hi Guenter, > >> For automatic fan control we don't really have a well defined ABI. >> Part of the problem is that the mechanisms used by various chips are >> quite different. >> >> Please have a look into Documentation/hwmon/nct6775. It is by far >> the driver with the most comprehensive fan control

On 11/22/2017 05:07 PM, Martin Peres wrote: > Hey, > > Thanks for your answer, Andy! > > On 22/11/17 04:06, Ilia Mirkin wrote: >> On Tue, Nov 21, 2017 at 8:29 PM, Andy Ritger <aritger at nvidia.com> wrote: >> Martin's question was very long, but it boils down to this: >> >> How do we compute the correct values to write into the e114/e118 pwm

Hello, We recently reverse engineered PWM-based voltage management but found an odity in the input clock frequency for the PWM controller. It seems like RM is assuming an input clock of 27.648 MHz instead of the actual 27MHz crystal found on the board. I thus have the following questions: - Is it a fixed value hardcoded in RM? (Current way it is done in Nouveau) - Should we use

On Mon, Jul 14, 2014 at 06:47:28PM +0200, Gianni Vialetto wrote: > Hello guys, > > For a patch to this nouveau bug [1] I'm trying to implement the sysfs > interface for two properties (linear_min and linear_max) nouveau uses > internally to decide when to raise the fan speed. The initial idea was > to have them as custom sysfs attributes, but I was advised to try to > fit